Use the latest DMC3 AI/ML innovations: Aspen Deep Learning, Aspen Maestro and Aspen Virtual Advisor. Learn how to apply these innovations to your existing applications to improve controller uptime and performance.

• Learn how Aspen APC Software runs on different computers in the Process Control LAN.
• See the characteristics of the four different classes of APC Software
• Application Server
• Web Server
• Aspen Watch Server Desktop
• Learn how to install the software for each of these classes
• Learn how to configure the overall infrastructure to fully support Aspen APC
• Learn how to debug installation and configuration errors
• Learn how to migrate the software for each of these classes

•  Learn the characteristics of  Aspen DMCplus and Aspen DMC3 models and controllers
•  Learn how  Aspen DMCplus and Aspen DMC3 models are developed through step testing
•  Learn how to conceive, design and deploy an Aspen Advanced Process Control (APC) Application
•  Learn the characteristics of a Linear, Dynamic, Empirical Model
•  Learn how to use DMCplus Model to identify a Process Model
•  Be able to decide when to use FIR or SubSpace Modeling
•  Understand the importance of Collinearity Analysis
•  Learn to use the DMCplus Build and DMCplus Simulate software to develop control models, build control applications, and perform off-line tuning and simulation of control applications   
•  Learn the role of CV Ranks and Equal Concerns in the computation of the Steady State Targets
•  Learn to use MV/CV Costs to cause the steady state optimization to seek the most profitable operating point
•  See why multiple moves are calculated for each control cycle
•  Learn how to use MV move suppression and CV Concerns to tradeoff move minimization versus CV error minimization
•  Learn how to implement variable transformations and custom built controller calculations
•  Become familiarized with the APC infrastructure
•  Learn how to interact with the online controller to operate a plant

• Understand various Online tools associated with Aspen DMC3 Builder
• Learn how to implement variable transformations and custom built controller calculations
• Become familiarized with the APC infrastructure
• Learn how to interact with the online controller to operate a plant
• Learn the characteristics of Aspen DMCplus and Aspen DMC3 models and controllers
• Understand, design and deploy an Aspen Advanced Process Control (APC) Application
• Learn the characteristics of a Linear, Dynamic, Empirical Model
• Learn how to use Aspen DMC3 Builder to identify a process model
• Be able to decide when to use FIR or SubSpace Modeling
• Understand the importance of Collinearity Analysis
• Learn to use the Aspen DMC3 Builder software to develop control models, build control applications, and perform off-line tuning and simulation of control applications   
• Learn the role of CV Ranks and Equal Concerns in the computation of the Steady State Targets
• Learn to use MV/CV Costs to cause the steady state optimization to seek the most profitable operating point
• See why multiple moves are calculated each control cycle
• Learn how to use MV move suppression and CV Concerns to tradeoff move minimization versus CV error minimization
• Learn how to implement variable transformations and custom built controller calculations

• Learn the characteristics of Aspen DMCplus and Aspen DMC3 models and controllers
• Learn how Aspen DMCplus and Aspen DMC3 models are developed through step testing
• Learn various tuning parameters and how they are used in an Aspen DMCplus or Aspen DMC3 controller
• Become familiarized with the APC infrastructure
• Learn how to interact with the online controller to operate a plant

•  Learn how to conceive, design and deploy an Aspen Advanced Process Control (APC) Application
•  Learn the characteristics of a Linear, Dynamic, Empirical Model
•  Learn how to use DMCplus Model to identify a Process Model
•  Be able to decide when to use FIR or SubSpace Modeling
•  Understand the importance of Collinearity Analysis
•  Learn to use the DMCplus Build and DMCplus Simulate software to develop control models, build control applications, and perform off-line tuning and simulation of control applications   
•  Learn the role of CV Ranks and Equal Concerns in the computation of the Steady State Targets
•  Learn to use MV/CV Costs to cause the steady state optimization to seek the most profitable operating point
•  See why multiple moves are calculated for each control cycle
•  Learn how to use MV move suppression and CV Concerns to tradeoff move minimization versus CV error minimization
•  Learn how to implement variable transformations and custom built controller calculations

• Learn how to conceive, design and deploy an Aspen Advanced Process Control (APC) Application
• Learn the characteristics of a Linear, Dynamic, Empirical Model
• Learn how to use Aspen DMC3 Builder to identify a process model
• Be able to decide when to use FIR or SubSpace Modeling
• Understand the importance of Collinearity Analysis
• Learn to use the Aspen DMC3 Builder software to develop control models, build control applications, and perform off-line tuning and simulation of control applications   
• Learn the role of CV Ranks and Equal Concerns in the computation of the Steady State Targets
• Learn to use MV/CV Costs to cause the steady state optimization to seek the most profitable operating point
• See why multiple moves are calculated each control cycle
• Learn how to use MV move suppression and CV Concerns to tradeoff move minimization versus CV error minimization
• Learn how to implement variable transformations and custom built controller calculations
• Become familiarized with the various Online tools associated with Aspen DMC3 Builder

• Develop a working knowledge of Aspen Recipe Explorer to view recipe data and download recipe data to InfoPlus.21
• Use Aspen Process Recipe to create and configure recipes including security settings 
• Develop a working knowledge of Aspen Process Sequencer and the associated; strategies, configurations, security types and process sequencer calculations
• Learn how to setup and configure a web-based Transition Overview display that allows operators to monitor and interact with key informational elements of a transition package

• Build a high-performance property estimator
• Determine when you have sufficient data to generate a valid model
• Select the appropriate inputs
• Use Aspen IQmodel to develop a linear steady state inferential predictors
• Configure Aspen IQ applications using several different types of models and how to deploy these applications for on-line use
• Use the PCWS (Web Viewer) and Aspen IQview to make on-line tuning changes
• Use the Aspen IQ history files for model development and maintenance

• Effectively use the Aspen Nonlinear Controller application to build a Nonlinear Controller project
• Formulate a Nonlinear Control objective function to define the economic benefits
• Simulate and tune a Nonlinear Controller
• Describe best practice and general commissioning rules for establishing online deployment
• Discuss the capabilities of the Steady State Optimizer and the Dynamic Move Path Optimizer
• Show how to make custom models
• Discuss the online configuration parameters and architecture
• Simulate with the online PCWS (web viewer)
• Discuss the special handling of Integrating Variables
• Show how to use the different operator interfaces for the PCWS application
• Show how to configure, install and deploy Aspen Nonlinear Controller
• Setup and define PCWS account roles, permission, privileges and security access

• Learn to use Aspen Watch to monitor the performance of DMCplus Controllers
  • Key Performance Indicators
  • Plots and Reports
  • Diagnostic Tools
• Differentiate between poor and healthy performing controllers
• Assess the performance of the PID Loops
• Modify or create Key Performance Indicators
• Manage baselines for controller performance evaluation
• Generate custom Aspen Watch reports
• Build a benefits calculation to assure the continued optimum economic performance of a DMC3/DMCplus controller
• Take advantage of Aspen Watch facilities for assessing problems with DMC3/DMCplus controller performance
• Diagnose mismatch between the controller model and the actual plant
• Use Aspen Watch dynamic tuning indicators to optimally adjust dynamic tuning parameters

• Introduction to the concept of robust control using DMC3 controllers.
• Understand the fundamentals of Calibrate mode and examine the various features available with the Aspen Adaptive Modeling tool.
• Learn to perform model update iterations using Production Control Web Server
• Introduction to the concept of Smart Tune using DMC3 controllers.
• Examine the methodology of revamping DMCplus applications using Calibrate and Adaptive Modeling/Control.  Compare and contrast it to the 'traditional' implementation method
• Learn how to use Calibrate and Adaptive Modeling to maintain and improve existing APC applications
• Commission the new models developed using Calibrate and Adaptive Modeling

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What you Need to Know Before Implementing a DMC3 Controller. AspenTech’s DMC3 controllers optimize the operation of a plant to a point where profit is maximized, and costs are minimized. It determines a plan of operation and sends it down to the underlying regulatory control system, a DCS or PLC. The DCS in turn carries out the plan by sending commands to the process equipment. Therefore, to be successful, DMC3 relies on the performance of the DCS. This seminar presents an introduction to the components of regulatory control systems relevant to the DMC3 controller operation. 

• Understand various Online tools associated with Aspen DMC3 Builder
• Learn how to implement variable transformations and custom built controller calculations
• Become familiarized with the APC infrastructure
• Learn how to interact with the online controller to operate a plant
• Learn the characteristics of Aspen DMCplus and Aspen DMC3 models and controllers
• Understand, design and deploy an Aspen Advanced Process Control (APC) Application
• Learn the characteristics of a Linear, Dynamic, Empirical Model
• Learn how to use Aspen DMC3 Builder to identify a process model
• Be able to decide when to use FIR or SubSpace Modeling
• Understand the importance of Collinearity Analysis
• Learn to use the Aspen DMC3 Builder software to develop control models, build control applications, and perform off-line tuning and simulation of control applications   
• Learn the role of CV Ranks and Equal Concerns in the computation of the Steady State Targets
• Learn to use MV/CV Costs to cause the steady state optimization to seek the most profitable operating point
• See why multiple moves are calculated each control cycle
• Learn how to use MV move suppression and CV Concerns to tradeoff move minimization versus CV error minimization
• Learn how to implement variable transformations and custom built controller calculations

• Review the fundamentals of asset management, system engineering, reliability modeling
• Learn how to build simple to medium complexity models
• Understand how to identify modeling opportunities and develop modeling scope
• Learn how to change basic inputs, view results and customize any model for specific requirements

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This course helps you get acquainted with Systems Modeling, general Reliability and Maintenance principles and practices and understand how those are incorporated in Aspen Fidelis

Upon completion the engineer should understand how:

► You will go through various workshops to understand the workflow and basic components of an AFR model. 

► This course will enable you understand your plant model in terms of plant performance and unplanned equipment failures, and provide quick pointers to improve the same.

► You will learn how to use plant data to generate results and enable informed, defensible, decisions on capital asset management.

Use AI and Machine Learning algorithms to stop machines from breaking down, make them last longer, reduce maintenance costs, and increase the net product output of any process. Learn how to configure Aspen Mtell and develop the appropriate plant floor equipment hierarchy and taxonomy to facilitate Condition Monitoring. Set up alert notification strategies and custom monitoring displays. Perform conditioning and analysis of time-series sensor data. Build and deploy advanced condition monitoring strategies. Implement Operator Maintenance Advisory capabilities enabling operators to track open work orders and create work requests directly from their own user interface.

Learn to install, create, and configure a Mtell solution. Obtain a basic familiarity with the steps to implement a successful project.  

Use AI and Machine Learning algorithms to stop machines from breaking down, make them last longer, reduce maintenance costs, and increase the net product output of any process. Learn how to configure Aspen Mtell and develop the appropriate plant floor equipment hierarchy and taxonomy to facilitate Condition Monitoring. Set up alert notification strategies and custom monitoring displays. Perform conditioning and analysis of time-series sensor data. Build and deploy advanced condition monitoring strategies. Implement Operator Maintenance Advisory capabilities enabling operators to track open work orders and create work requests directly from their own user interface.

In this course, you will learn how to navigate and use Aspen Mtell Builder, understand the purpose of an Asset Template and fill one out, modify existing Asset Templates by adding new sensor roles and calculated sensors, create condition-based monitoring and rule agents, define Key Performance Indicators (KPIs) for equipment health monitoring, and view live agents and triage alerts using Aspen Mtell Alert Manager. 

The Aspen Mtell application is a condition monitoring solution that uses automated Machine Learning to stop machines from breaking down, makes them last longer, reduces maintenance costs, and increases the net product output of any process.

This course prepares you to manage the lifecycle of alerts in a Mtell real-time monitoring solution. You will learn to navigate Aspen Mtell Alert Manager, a web application that helps users to manage alerts and monitor their online assets.

In this training, you will learn how to implement custom agents in Aspen Mtell. You will understand why integrating custom agents into Mtell are desired, explore some use cases of when custom agents might be used, and learn how to configure and create a few simple custom agents. You will also learn how to manage the deployed custom agents in Aspen Mtell Alert Manager.

This is an advanced course. You should be familiar with Aspen Mtell and be an Aspen Mtell Certified User prior to attending this class.

During this training session you will learn about:

• Spectral preprocessing methods
• Latent variable Modeling methods (PCA, PLS) for spectroscopy
• Model interpretation

During this training session you will learn about:

• Principal component analysis
• Outlier detection
• Multivariate regression
• Prediction using multivariate models
• Model validation

During this training session you will learn about:

• Batch processes: Data structure and unfolding strategies
• Main challenges
• Batch modelling approaches
• Batch process relative time models
• Online batch monitoring

During this training session you will learn about:

• Unsupervised clustering
• Classification methods (PCA/SIMCA, LDA, SVM, PLS-DA)
• Additional methods
• Validation of classifiers

During this training session you will learn about:

• Compliance and quality assurance challenges
• Validation and testing tasks
• Modules vs Integrated system
• Data integrity and security
• Continuous process verification (CPV)
• Multivariate model integrity and management

During this training session you will learn about:

• Process analytical technology (PAT) framework and quality by design (QbD)
• Multivariate statistical process control (MSPC)
• Real-time multivariate prediction
• PAT in operations

This training will introduce you to the features and functionality of the AspenTech Inmation backend and the AspenTech Inmation frontend applications. It will show you how to install and configure the system; connect to different data sources and servers; access and display both Realtime and Historical data; and connect to the system through outside interfaces. It will also to introduce you to the Lua Scripting engine and the flexibility it offers to customize the system to your needs.

This training will introduce you to all aspects of the AspenTech Inmation IP.21 Server. It will show you how to install and configure the AspenTech Inmation IP.21 Server service; create, and connect to the gRPC server with an existing AspenTech Inmation system; use both the real-time and guaranteed delivery modes; backfill history using the History Transporter; and use the server for direct IP.21 to IP.21 replication. It will also cover troubleshooting techniques with some common examples.

• Understand and apply the principles of Statistical Process Control (SPC) to the Aspen Real-time Statistical Process Control Analyzer product.
• Use the SPC tools provided by AspenTech to monitor and improve process quality, as well as reduce manufacturing costs.
• Create and modify Aspen InfoPlus.21 records that are necessary to support the SPC product
• Utilize the competitive advantage which the Aspen Real-time Statistical Process Control Analyzer can bring to your enterprise
• Implement an SPC system, which integrates tightly with an Aspen InfoPlus.21TM  real time database enabling real-time quality control
• Maintain, extend, or supervise the  application of an existing Aspen Real-time SPC Analyzer
• Monitor and report on variables that influence product quality using an installed Aspen Real-time SPC Analyzer

• Understand and apply the principles of Statistical Process Control (SPC) to the Aspen Real-Time Statistical Process Control Analyzer product in aspenONE Process Explorer
• Use the SPC tools provided by aspenONE Process Explorer to monitor and improve process quality, as well as reduce manufacturing costs
• Create and modify Aspen InfoPlus.21 records that are necessary to support the aspenONE Process Explorer SPC product
• Utilize the competitive advantage which the Aspen Real-Time Statistical Process Control Analyzer can bring to your enterprise
• Implement an SPC system, which integrates tightly with an Aspen InfoPlus.21  real-time database enabling real-time quality control
• Maintain, extend or supervise existing Aspen Real-Time SPC Analyzer records
• Monitor and report on variables that influence product quality using Aspen Real-Time SPC Analyzer

• Learn to install and configure SLM for both network and standalone licenses
• Learn to configure a network server
• Learn the basic and advanced installation options
• Provides information on the types of licenses offered

• Learn how to implement and configure an Aspen InfoPlus.21 system including database security, data back up, and data transfer from DCS/PLC
• Learn how to supervise, maintain, and troubleshoot an Aspen InfoPlus.21 system
• Understand different Client tools available with Aspen InfoPlus.21 to effectively monitor critical plant data

• Learn how to implement and configure an Aspen InfoPlus.21 system including database security, data back up, and data transfer from DCS/PLC
• Learn how to supervise, maintain, and troubleshoot an Aspen InfoPlus.21 system
• Understand different Client tools available with Aspen InfoPlus.21 to effectively monitor critical plant data

This is the flexClass version of our popular MES101 Foundation level class. This version is delivered through a combination of rigorous workshop modules and recorded lectures that you can complete over 5 weeks with live, expert-led sessions, and hands-on workshops. Students usually spend 8 to 12 hours per week to complete this online course. 

This is the FlexClass and Coaching version of our popular MES101 Foundation level class. This version is delivered through a combination of rigorous workshop modules and recorded lectures that you can complete over 2 months, plus 8 hours of one-on-one coaching sessions. Students usually spend 8 hours per week to complete this online course, and each student has up to 8 hours of one-on-one coaching sessions with our technical expert to get coaching for any technical issues related to AspenTech MES software including IP.21 server upgrade/migration.  

• After taking this course, students will be able to:
• Create and schedule calculations integrated with Aspen InfoPlus.21 using Aspen Calc
• Incorporate standard functions into a calculation, create new formulas and manage calculation libraries using Aspen Calc
• Query and analyze process data from Aspen InfoPlus.21's HISTORY and AGGREGATES tables using Aspen SQLplus
• Configure Key Performance Indicators (KPI's) to analyze plant or unit performance against predetermined standards
• Retrieve data from Aspen InfoPlus.21 into Microsoft Excel using the Aspen Process Data add-in for Excel

• View data coming from your process using one of AspenTech's graphic user interfaces
• Customize the appearance of trend plots to suit your application
• Specify plots based on statistical analysis of process data (aggregates)
• Exploit all the features offered by this product concerning process data trending and graphic creation/viewing
• Integrate real-time or historic data from your process into Windows desktop programs, e.g., Microsoft Excel 
• Gain an end-users view of Aspen InfoPlus.21®
• Gain an overview of components that can be used with the Aspen Process Explorer Application Container
• Get an Overview of aspenONE Process Explorer and learn how to publish existing Aspen Process Explorer trends and graphics to aspenONE Process Explorer

• Navigate through the AspenCalc Application
• Create simple calculations integrated with Aspen InfoPlus.21  using
  • CalcScript
  • Excel spreadsheets
  • VBScript
  • Datasets
• Incorporate standard Functions into a calculation
• Create a new formula
• Manage Libraries
• Create Ad Hoc and Shared calculations
• Course Benefits
• Build simple and complex calculations, integrated with Aspen InfoPlus.21,  without the need for programming languages
• Support operational excellence initiatives through use of  Aspen Calc; included with Aspen InfoPlus.21, which  is a wizard-driven, scalable calculation engine that aids users in advanced Analysis and Intelligent Decision Support

• Use the Reporting tools of Aspen Production Record Manager to examine data within Aspen InfoPlus.21
• Use the standard Aspen Production Record Manager client tools to produce batch reports in Microsoft Excel
• Produce Batch plots in Aspen Process Explorer

• Write and execute SQL queries to maintain, view, or manipulate Aspen InfoPlus.21 data
• Integrate real-time or historic data from Aspen InfoPlus.21 with other data sources efficiently
• Configure versatile reports, including custom client-side reports using the Aspen SQLplus Reporting Tool
• Develop or maintain an SQL-based application for Aspen InfoPlus.21
• Optimize the way in which SQL is used for processing within Aspen InfoPlus.21
• Explore the benefits of using Aspen SQLplus to automate many mundane tasks
• Organize data more effectively for users of desktop clients such as Excel
• Implement the debug tools effectively
• Utilize the SQLplus-based portions of the COM Aspen Process Data Excel Add-In
• Access other remote databases using ODBC

• Prepare and perform the upgrade of Aspen InfoPlus.21 database using the best practices recommended by AspenTech, thus effectively reducing the downtime
• Use Aspen IP.21 Configuration Excel Add-in to Manage the database records through Excel
• Implement advanced features like Aspen Cim-IO Redundancy and Aspen InfoPlus.21 Replication to minimize the loss of critical plant data
• Safely and easily add additional fields to Aspen InfoPlus.21 record structures so that the Aspen InfoPlus.21 database can more precisely meet your needs
• Optimize your firewall configuration to gain best performance, security and reliability from Aspen InfoPlus.21
• Implement Aspen InfoPlus.21 in a cluster to ensure users have continuous access to critical plant data without any visibility or additional configuration from the client side
• Configure and implement role based security for Aspen InfoPlus.21 and different client applications
• Review Best Practices solutions

• Explain the principles, terminology, and architecture of Aspen Production Record Manager
• Prepare and configure a Batch system using the Aspen Production Record Manager Administrator Tool
• Populate a Batch database using the BCU
• Configure automated reports
• Create a Golden Batch Profile and apply it to the current process
• View Batch SPC plots

·         Describe the concepts and architecture of Aspen Production Execution Manager (APEM)

·         Describe the Manufacturing Operations and Control (MOC) module

·         Particular focus is made on developing APEM applications based on the General Manufacturing Library as an alternative to expending effort on coding actions in newly created operator screens

·         Use appropriate Aspen Production Execution Manager modules to create and track orders

·         Show how it is possible to customize the General Manufacturing Library with new screen designs and source code

·         Use the debugger to monitor the execution of scripted APEM actions

·         Manage data transfer from the ERP system

·         Describe the features of Weigh and Dispense Execution and Weigh and Dispense Management

·         Review some of the batch reporting options

·         Describe how the Templates Module can be used to migrate design elements from one server to another

·         Understand how Aspen Framework (AFW) Security controls APEM permissions and roles

·         Explore other Administrative products and features

·         Describe the features of the APEM Execution and Tracking web application

• Understand the Aspen Report Writer functionalities and the retrieved data structure
• Examine the Report Writer setup requirements
• Explore the use of different types of Report Writer functions

Students receive a high-level overview of Spectra as well as an in-depth review of Spectra eMap functionality and operation.

In-depth course topics include:

·  eMap tabular displays

·  eMap geographical displays

·  Network model: Three-phase connectivity model, model build process, model validation process, installed vs. proposed model, distribution topology processing (DTP), DTP execution, Study Mode DTP and Spectra advanced applications

·   Controls and tagging: Operations dialog, SCADA control, manual entry, tagging and study mode operations

·   Tracing: Upstream/downstream tracing, interconnect tracing, trace statistics and clearing a trace

·   Temporary conditions: Line cuts, jumpers, switches, sources and loads, ground and study mode temporary conditions

·   ATO simulation: Main-main ATO, main-tie ATO, real-time simulation and study mode simulation

·   Spectra Insight™: Violations and events

·  Model update process: Full GIS import, incremental import, and model update process automation

Students will receive an in-depth review of Spectra DPF. This application performs a full ABC-domain calculation of the voltage, current and power flow in a distribution network based on the current topology, voltage at the substation source nodes and telemetered or estimated load injections. It is useful for estimating the state of the network where little or no telemetry exists and serves as an important network analysis support component for other Spectra applications.

In-depth course topics include:

·   Goals of DPF

·   DPF inputs: Direct, telemetry inputs, DTP and load allocation

·   Controlling DPF in real time and study mode

·   DPF detailed results: DPF devices – all, DPF devices – specific and DPF detail – feeder

·   Load allocation: Running LA, using load forecasting data, and using nominal values

·   Local regulation simulation: Tap changing regulation and capacitor regulation.

·   Debug logging

Students receive an in-depth review of Spectra FR. This application can help you relieve loading problems, improve voltage levels, reduce system losses, and balance or reduce loading on equipment.

In-depth course topics include:

·   Goals of FR

·   FR results: Solution types, switching steps and solution detail logs.

·   Influencing FR results: Constraints, component objectives, composite objective score, working model and available switches.

·   Loading Violation Remediation (LVR): LVR operational flow, discovering the issue, finding an LVR solution and resolving the loading violation issue.

·   Voltage Violation Remediation (VVR): VVR operational flow, discovering the issue, finding a VVR solution and resolving the voltage violation issue.

·   Load Balancing (LB): LB operational flow, discovering the issue, finding a LB solution and resolving the load balance situation.

·   Optimization (OPT): OPT operational flow, discovering the issue, finding an OPT solution and improving the system performance situation.

·   Equipment Loading Reduction (EQL): EQL operational flow, discovering the issue, finding an EQL Solution and resolving the equipment loading issue.

·   Fine-tuning Spectra FR solutions

·   Automatic execution

Students receive an in-depth review of Spectra VVC. This application monitors distribution system voltage levels and reactive power flows to determine and execute capacitor bank, voltage regulator and LTC control actions for improved system performance.

In-depth course topics include:

·   Goals of VVC

·   Influencing VVC Results: Constrains and available controls

·   Spectra Control and System VVC Summary displays

·   Conservation of Voltage Reduction (CVR)

·   CVR Control and Execution Summary displays

·   Voltage control: VC operational flow, discovering the issue, monitoring a voltage issue if no event exists, reviewing the VVC solutions for a voltage issue, changing the VVC parameters for a voltage issue, requesting VVC to re-solve a voltage issue, implementing a VVC solution for a voltage issue, and verifying whether implementing a VVC solution has resolved the issue.

·   VAR control: QC operational flow, discovering the issue, monitoring a VAR/PF issue if no event exists, reviewing the VVC solutions for a VAR/PF issue, changing the VVC parameters for a VAR/PF Issue, requesting VVC to re-solve a VAR/PF issue, implementing a VVC solution for a VAR/PF issue and verifying whether implementing a VVC solution has resolved the issue

·   Conservation of Voltage Reduction (CVR): CVR On demand and CVR scheduler

Students receive an in-depth review of Spectra FLISR - OSI’s solution for fault mitigation, which allows you to monitor and manage fault and source outage issues in a distributed network.

In-depth course topics include:

·   FLISR user interface

·   Fault detection: Types and fault detection data

·   Fault location: Fault location data and fault location settings

·   FLISR validate: Hierarchy, FLISR devices, running FLISR validate and understanding FLISR validate output

·   Process settings

·   Isolation tags

·   Restoration: Tags and solution tuning

·   Configuration: Setting control modes and objectives, special conditions flags and trace mask

·   Configuring hotline conditions

·   Spectra Insight

Students receive a high-level overview of Integra DERMS as well as an in-depth review of its functionality and operation.

In-depth course topics include:

·   Integra DERMS tabular displays

·   DERMS model: Solar, wind, battery and other DERs

·   DER grouping and aggregation

·   Real-time estimation of DER output: Meteorological, bellwether and forecast

·   Monitoring and controls: Operations dialog, SCADA measurements, SCADA control, manual entry and group controls

Students receive an in-depth review of Electra OMS - OSI’s outage management solution, which allows you to manage all areas of your outage restoration processes, minimize outage response times and improve your overall system reliability.

In-depth course topics include:

·   Contact/trouble call management

·   Outage analysis/ETR calculation

·   Crew dispatch/work management

·   Planned outage management

·   Storm management

·   Outage reporting and notification

·   OMS system configuration

Students receive an in-depth review of Spectra OTS.

In-depth course topics include:

• Running events and scenarios

•  Using events: Set switch state, set reclose/ground trip state, add/remove fault, set/scale system load, set load, set capacitor/capacitor controller state, set LTC/VR tap positions, set LTC/VR controller state/set LTC/VR controller voltage and set source voltage

•  Typical scenarios: Simulating storms and system blackout

•  Evaluation Report: Event reporting, control reporting, alarm reporting, database change reporting and sorting and filtering

•  Advanced Spectra OTS: Dynamic cycle time and remedial action schemes

•  Configuration and maintenance topics

This course is available for DGM partners only

Learn the foundations for delivering a DGM customer system through this introductory course on DGM products, project processes and systems. Included in the course are hands-on build exercises where trainees build a DGM system in varying environments. Trainees that complete the course will be able to build a functioning DGM system for a customer and understand the delivery process from kickoff to cutover and will be well-prepared to complete the DGM Certified Associate certification process.  

This course is an in-depth review of OpenAGC. It covers operational capability, theory of operation and algorithms, user interface, database requirements, maintenance, tuning, backup, recovery, performance, system interfaces, SCADA and other system modules.

In-depth course topics include:

·        OpenAGC overview

·        OpenAGC inputs and outputs

·        OpenAGC user interface

·        OpenAGC functions/features

·        OpenAGC architecture and interfaces

·        OpenAGC setup

·        OpenAGC functional operation

·        Load frequency control

·        ACE control error processing

·        Inadvertent Interchange and Time Error Correction

·        Unit Generation Dispatch and Allocation

·        Unit Control Processing

·        Reserve Monitoring

·        Economic Dispatch

·        Production Costing

·        NERC Performance Monitoring (CPS1/CPS2)

·        AGC Extensive Modeling

·        Study Economic Dispatch (Transaction Evaluation)

·        Unit tuning

·        Multi-area operation

·        Jointly Owned Units (JOUs)

·        AGC API training

An in-depth review of the OpenTMS functionality and operation is covered in this course.

Students learn about operational capability, user interface, database requirements, maintenance and tuning, special backup and recovery, performance characteristics, interfaces with other applications, AGC and other system modules.

In-depth course topics include:

·        OpenTMS overview

·        OpenTMS inputs and outputs

·        OpenTMS user interface

·        OpenTMS functions/features

·        OpenTMS architecture and interfaces

·        OpenTMS setup

·        OpenTMS functional operation

·        Multi-party transactions

·        Hourly, sub-hourly schedules

·        Reading external schedules from ASCII

·        AGC Schedule Composite

·        Schedule templates

·        Historical schedules

·        RDBMS archival

·        Inadvertent interchange accounting and reporting

Students receive an in-depth review of OpenMOS, OpenECA and OpenAGC functionality pertaining to MISO. The course covers operational capability, user interface, database requirements, maintenance and tuning, special backup and recovery, performance characteristics, interfaces with other applications and system modules.

In-depth course topics include:

·        OpenMOS overview including functions/features and configuration

·        OpenMOS user interface and architecture

·        OpenMOS interface with MISO market

·        Interaction between OpenECA, OpenMOS and OpenAGC

·        OpenECA configuration

·        MISO displays in OpenECA and OpenAGC

·        Unit Start/Stop dispatches

·        OpenAGC MISO configuration

·        Unit dispatch in MISO

·        Unit status including effective unit status

·        EDEF calculations

Students receive an in-depth review of OpenMOS, OpenECA and OpenAGC functionality pertaining to ERCOT. This course covers operational capability, user interface, database requirements, maintenance and tuning, special backup and recovery, performance characteristics, interfaces with other applications and system modules.

In-depth course topics include:

·        ERCOT Terminology

·        OpenMOS overview, functional description and interfaces

·        OpenMOS client and operations

·        OpenECA overview and interface with ERCOT market

·        OpenECA configuration

·        Resource status

·        Unit configuration

·        Combined cycle

·        Renewable/battery resources

·        OpenECA and OpenMOS interaction

·        Current Operation Plan (COP)

·        Unit Resource Status

·        Ancillary Service dispatch

·        Quick Start Generation Resources (QSGR)

·        Unit participation factors (for fast, normal regulation and RRS)

·        Handling of Market Ancillary Service notifications

·        Generation Resource/Controllable Load Energy Deployment Performance (GREDP/CLREDP)

Students receive an in-depth review of OpenMOS, OpenECA and OpenAGC functionality pertaining to SPP. This course covers operational capability, user interface, database requirements, maintenance and tuning, special backup and recovery, performance characteristics, interfaces with other applications and system modules.

In-depth course topics include:

·        OpenAGC, OpenMOS and OpenECA overview

·        Interaction between OpenAGC, OpenMOS and OpenECA

·        OpenMOS SPP Notifications

·        OpenMOS SPP commitment dashboard

·        OpenECA configuration

·        SPP displays in OpenECA and OpenAGC

·        OpenAGC SPP unit configuration

·        XML versus ICCP basepoint and control

·        Resource Control Status, Effective Resource Status and Override

·        Unit Dispatch in SPP

·        Unit Ancillary Service dispatch in SPP

Students receive an in-depth review of MOSPJM, OpenECA and OpenAGC functionality pertaining to PJM. This course covers operational capability, user interface, database requirements, maintenance and tuning, special backup and recovery, performance characteristics and interfaces with other applications and systems.

In-depth course topics include:

·        PJM interfaces and terminology

·        MOSPJM overview, functional description, client and operations

·        OpenECA overview and interface with PJM market

·        MOSPJM, OpenECA and OpenAGC interaction and data flow

·        OpenECA configuration for the PJM market

·        Fleet definition, configuration and details

·        Regulation A and D incoming data, calculations and outgoing data

·        Total, current regulation calculations including regulation allocation

·        Spinning Reserve (SR) event request, handling and monitoring

·        Instantaneous Reserve Check (IRC) calculations

·        Regulation Performance Score

·        Unit Dispatch basepoint

·        Simultaneous regulation A and D handling

·        Multiple fleet definitions

·        Fleet summary and unit details

An in-depth review of OpenMOS, OpenECA, and OpenAGC functionality pertaining to CAISO. The course covers operational capability, user interface, database requirements, maintenance and tuning, special backup and recovery, performance characteristics, interfaces with other applications and system modules.

In-depth course topics include:

·        CAISO terminology

·        OpenMOS overview including functions/features and configuration

·        OpenMOS user interface, architecture and interface with CAISO market

·        Interaction between OpenECA, OpenMOS and OpenAGC

·        OpenECA CAISO configuration for EIM and non-EIM resources

·        CAISO displays in OpenECA

·        Unit Start/Stop dispatches

·        Handling of Unit ADS dispatches from CAISO

·        Handling of inter-tie resource for CAISO EIM

·        Modeling Dynamic Schedules for CAISO EIM

·        Options to control Dispatch Operating Target, Dispatch Operating Point or Base Schedule

·        Unit Performance Tracking

·        OpenAGC configuration for CAISO EIM

An in-depth review of the Forecast functionality and operation.

The course covers operational capability and benefit, theory of operation and algorithms, user interface, database requirements, maintenance and tuning, special backup and recovery, performance characteristics, interfaces with other applications, SCADA and other system modules.

In-depth course topics include:

·        Overview

·        Inputs and outputs

·        User interface

·        Functions/features

·        Architecture and interfaces

·        Setup / configuration

·        Functional operation

·        Historical weather / loads / Renewable resource generation

·        Regression Algorithm

·        Neural-Network Algorithm including configuration / training

·        Forecast analysis

·        Plan load and generation schedules

·        Auto forecast

Students receive an in-depth review of OpenUC functionality. The course covers operational capability and benefit, theory of operation and algorithms, user interface, database requirements, maintenance and tuning, special backup and recovery, performance characteristics, interfaces with other applications, AGC and other system modules.

In-depth course topics include:

·        OpenUC overview

·        OpenUC inputs and outputs

·        OpenUC user interface

·        OpenUC functions/features

·        OpenUC architecture and interfaces

·        OpenUC setup

·        OpenUC functional operation

·        Transaction Evaluation

·        Priority-based algorithm

·        Dynamic programming algorithm

·        Mixed Integer Linear Programming (MILP) algorithm

·        Hybrid algorithm

·        Save cases

This course is an in-depth review of Economic Dispatch function in OpenAGC. Its covers theory of operation and algorithms, unit costs and fuel data modeling, operational features, user interfaces, database requirements, maintenance and tuning, production costing, interfaces with other application and system modules.

In-depth course topics include:

·        Economic Dispatch overview, functions/features

·        Definitions and terminology

·        Unit input/output curve

·        Deriving Incremental Heat Rate (IHR) curve

·        Modeling Incremental Heat Rate curve

·        Configuring fuel types and prices

·        Fuel data modeling including fuel mixing and fuel switching

·        Emission cost curves modeling

·        Operation and Maintenance (O&M) cost modeling

·        Understanding Incremental Cost curve

·        Equal Lambda Dispatch algorithm

·        Economic Dispatch modes/configuration parameters

·        System lambda and production cost calculations

·        Economic Dispatch displays

·        Transmission Constrained Dispatch (TCD)

·        Interaction with AGC function

·        Study Economic Dispatch

·        Demand Dispatch

·        Production Cost feature

·        Incremental Heat Rate Curve API

An introduction to the monarch system. Topics covered include an overview of the hardware and software that make up the system, including how the client/server architecture works; the products that constitute the monarch system and how they interact; and a discussion of the SCADA functionality in the monarch system. The monarch database system is introduced, including database definition files, what the internal structure of a database looks like and what D.O.F.R.I.s and data links are and how they are used in the system to link to data.

The OpenView™ client is also discussed including an overview of the various applications that make up the client

environment. Options for customizing the look of OpenView will be shown.

This course is a discussion of the components and configuration that make up a server in the monarch system. Server configuration is discussed including topics such as environment variables that are added, the OSI directory structure on a server, how the monarch system processes are started and stopped and how failover works. Several of the processes that make up the monarch system are discussed.

The different ways of performing database maintenance on the system are shown including the command line utilities for working with databases, the Database Editor tool in OpenView and the DataExplorer application. Some advanced options for interacting with databases are also discussed such as ODBC and Microsoft Excel.

An introduction to the Voyager application in Web Platform^TM. Topics covered include overview of Voyager’s function, navigation and Voyager Builder. Students will learn how to use Voyager Builder to create and maintain Web Tabluar displays for Voyager.

The course covers access to Web Platform and the Voyager application, as well as how to access different displays within Voyager. Navigation within displays and features available in each type of display are discussed. The different components and features of Voyager Builder are discussed, including examples of how to build summary, archive and dynamic displays for Voyager.

An overview of the configuration and administration options of Web Platform. Administration topics covered include creating customized menu options for web applications, configuring settings applicable to all applications, creating and managing sessions and database audit retention. Additional topics include creating and management of API Keys, creating and monitoring processes through System Monitor, and creating and managing dashboards. Students will also learn to configure and manage users, groups, and consoles, and import users from monarch or LDAP.

This course covers basic operations of the SCADA system and functionalities. Week One includes a system overview, basic navigation of the system, display and database editing tools, SCADA operations, alarming and RTU communications. Week Two includes calculations, display editing, system maintenance and administrative tools. All topics include hands-on exercises to gain experience with the software. Advanced features will not be covered, to allow for the maximum amount of time to be spent on hands-on activities. Some portions of the class may be assigned as independent study for students to review after course completion.

Course topics include:

System and User Interface Basics

·   Navigating and operating the main graphical user interfaces (OpenView, SystemExplorer™ and Advanced Tabulars)

·   External and internal communications hardware overview

·   Interactions and functionality of core monarch system communication processes

·   Fundamentals of monarch product databases including redundancy, failover, and structure

·   System communications architecture related to internal system interactions between workstations, servers and databases

·   Overview of monarch file system configuration

SCADA

·   SCADA operations

·   SCADA points and data tables

·   Alarm groups (including alarm help)

·   Configuring Tags, Limits and Qualities attributes of points (TLQ)

·   Alarm priorities and alarm filtering

·   Areas of Responsibility assignment and management

·   Responding to alarms and organizing alarms (ViewPoint)

SCADA and OpenFEP™

·   Data collection and organization through communications and supervisory control and data acquisition software (OpenFEP and OpenSCADA)

·   Methodologies of linking and validating telemetered points between RTUs, FEP and SCADA.

·   Communications Products

·   Features and tools of monarch communication products (OpenFEP and OpenICCP)

·  Configuring communications channels and RTUs

·  Capturing point data from RTUs and transferring data to user-readable values and viewable format

·  Setting up a real-time data exchange with head-end systems (grid or markets) using an ICCP connection

·   Sending controls through an ICCP connection (if applicable)

·   Using available communication interface troubleshooting tools

Custom Calculations (OpenCalc)

·   Introduction to the calculation subsystem

·  Creating basic calculations

·   Using built-in library functions

·   Developing custom calculations

·   Calc Formulas

Historian Subjects (OpenHIS & CHRONUS)

·   Configuring real-time data for archiving in OpenHIS

·   Configuring real-time data for archiving in CHRONUS

System Maintenance and Administration

·   Editing and viewing data tables

·   Performing database maintenance using DataExplorer

·   Product specific maintenance strategies

·   Configuring file replication and backup (SoftRAID)

·   Redundant database and server failover topics

·   Monitoring of monarch product processes

·   System maintenance strategies and best practices

·   System monitoring and health check processes

·   Configuring users and workstations

·   Configuring application and product settings

Maintaining displays in Design Studio and Tabular Builder

·  Building and maintaining displays including one-line diagrams and custom tabular displays

·   Creating dynamic data linkages between display fields and database values

·   Using graphical and visual enhancement tools to further customize displays

·   Best practices and processes for display building and maintenance

This course covers basic operations of the SCADA system and functionalities. Week One includes a system overview, basic navigation of the system, display and database editing tools, SCADA operations, alarming and RTU communications. Week Two includes calculations, display editing, system maintenance and administrative tools. All topics include hands-on exercises to gain experience with the software. Advanced features will not be covered, to allow for the maximum amount of time to be spent on hands-on activities. Some portions of the class may be assigned as independent study for students to review after course completion.

Course topics include:

System and User Interface Basics

·   Navigating and operating the main graphical user interfaces (OpenView, SystemExplorer™ and Advanced Tabulars)

·   External and internal communications hardware overview

·   Interactions and functionality of core monarch system communication processes

·   Fundamentals of monarch product databases including redundancy, failover, and structure

·   System communications architecture related to internal system interactions between workstations, servers and databases

·   Overview of monarch file system configuration

SCADA

·   SCADA operations

·   SCADA points and data tables

·   Alarm groups (including alarm help)

·   Configuring Tags, Limits and Qualities attributes of points (TLQ)

·   Alarm priorities and alarm filtering

·   Areas of Responsibility assignment and management

·   Responding to alarms and organizing alarms (ViewPoint)

SCADA and OpenFEP™

·   Data collection and organization through communications and supervisory control and data acquisition software (OpenFEP and OpenSCADA)

·   Methodologies of linking and validating telemetered points between RTUs, FEP and SCADA.

·   Communications Products

·   Features and tools of monarch communication products (OpenFEP and OpenICCP)

·  Configuring communications channels and RTUs

·  Capturing point data from RTUs and transferring data to user-readable values and viewable format

·  Setting up a real-time data exchange with head-end systems (grid or markets) using an ICCP connection

·   Sending controls through an ICCP connection (if applicable)

·   Using available communication interface troubleshooting tools

Custom Calculations (OpenCalc)

·   Introduction to the calculation subsystem

·  Creating basic calculations

·   Using built-in library functions

·   Developing custom calculations

·   Calc Formulas

Historian Subjects (OpenHIS & CHRONUS)

·   Configuring real-time data for archiving in OpenHIS

·   Configuring real-time data for archiving in CHRONUS

System Maintenance and Administration

·   Editing and viewing data tables

·   Performing database maintenance using DataExplorer

·   Product specific maintenance strategies

·   Configuring file replication and backup (SoftRAID)

·   Redundant database and server failover topics

·   Monitoring of monarch product processes

·   System maintenance strategies and best practices

·   System monitoring and health check processes

·   Configuring users and workstations

·   Configuring application and product settings

Maintaining displays in Design Studio and Tabular Builder

·  Building and maintaining displays including one-line diagrams and custom tabular displays

·   Creating dynamic data linkages between display fields and database values

·   Using graphical and visual enhancement tools to further customize displays

·   Best practices and processes for display building and maintenance

This course will cover topics essential to supporting your system after cutover. In-depth topics include:

•                    System maintenance best practices

•                    Failovers and system configuration

•                    Disk space and error messages

•                    Synchronizing data

•                    Maintaining multiple domains

•                    Log files

•                    Understanding reports

•                    Maintaining displays and calculations

An overview of Enterprise ITK system settings. Task dataflow and steps are discussed. An overview of creating tasks with the Enterprise ITK application and examples of different tasks and steps. How to configure and use the Name Service and ID maps. Enterprise ITK permissions are also discussed.

This course covers creating custom applications that interface with the monarch environment. The monarch Database Management System (DBMS) is reviewed, including creation of custom tables and custom databases. Using the monarch “C” Programming API to interact with the databases and perform other functions within the monarch environment is discussed in detail. Students develop an example OpenView application, which includes a custom database and a custom display. The application includes logic for handling failover, heartbeating and writing messages to a custom log file. It is also added as a new process to the monarch system.

Topics covered in this course include:

·        Active Directory Integration

·        monarch authentication vs. Active Directory authentication

·        Recommended password configuration

·        Generating reports

·        File permissions per OU

·        System configuration baselining

·        Web Platform authentication and permission setup

·        SCM monarch permission groups

·        Pulling reports of change

·        monarch logging

·        Product logs

·        Operating system level logging

·        Alarming in monarch

·        NERC supporting documentation

·        Patch management training

Students learn how to use Design Studio™ to create and maintain one-line displays. Topics discussed include adding and manipulating objects on displays, the design of one-line displays and some of the options for setting up a one-line display. Students also learn about general editing features such as cut and paste, group operations, snap grid, clipboard and undo.

The course covers linking dynamic data on a display to database points, using display linking aides, as well as information on group link, unlinked fields and station point lists. Device attributes such as fonts, line widths and dynamic line widths, TLQ linking, color linking and object attributes such as process execution and display call-up are also discussed. Students learn how to create custom symbols and symbol libraries as well as how to modify existing symbols on displays.

This course covers the basics of creating Advanced Tabulars™ displays. How to use the various layout components and other display customization options to organize data on displays effectively is discussed. Other topics covered include how to use sorting, filtering, command and color rules to modify how information is presented on a display.

Advanced features such as expression fields, calculated columns, configuring commands and embedded displays will also be covered. Students will learn how to configure and pass parameters into displays to filter or preselect the data displayed.

This course covers the process of creating displays and analytics using several different products. Students will use OpenView Advanced Tabulars to create displays that present data in a familiar tabular format which can be integrated into their monarch system. Learn how to create formulas in Excel that pull data from CHRONUS to build reports and charts that can be saved and distributed throughout their organization. Power BI will illustrate how to use HSH Analytics to build dashboards and analytics that can be published to anyone’s desktop.

This course shows students how to set up and maintain their SCADA system. SCADA points will be discussed in detail including configuring points, how point information is organized in the SCADA database, how the information is presented on displays, automatic and user calculations and configuring points for historical archiving.

The process for setting standards for various SCADA parameters is also covered. Students create an example station and add new points to the system, which include a variety of different SCADA features and capabilities. They also perform a system build and data validation.

How to configure Areas of Responsibility (AORs), critical AORs, states and units are discussed. Tags, Limits and Qualities (TLQs) are covered, including tag types, general tagging functionality and the options for customizing TLQs. Advanced SCADA features such as alternate data sources, seasonal and dynamic limits and programmable SCADA controls are also covered.

Configuration of the alarming system is discussed, including setting up alarm groups, alarm classes and alarm help files. The ViewPoint application is also covered including acknowledging and processing alarms, alarm filtering, saving custom alarm views and querying historical alarm information.

This course shows students how to configure FEP servers, communication channels, channel groups, serial line switches and RTUs. How to plan an optimum scanning strategy is also covered. Students set up and configure an OSIRIS™ RTU using the DNP protocol.

Adding points in FEP, the relationship between points in the SCADA and FEP databases and the available options for linking points between the two databases are discussed.

Information on tuning various FEP parameters, including channel delays, RTU delays and failure limits are also discussed. Options for diagnosing FEP problems including using the FEP statistics and the FEP protocol analyzer displays.

This course teaches students how to configure ICCP servers, transfer sets, Virtual Control Centers (VCC) and how to configure and add points to transfer sets for exchange. The relationship between the SCADA database and the ICCP database and how points are linked between the two is discussed.

Information on tuning the various ICCP parameters, configuring block transfers, quality codes and controls are discussed. Secure ICCP, ICCP Listen mode and alternative VCC are covered as licensable features.

Options for diagnosing ICCP problems and to use the ICCP error statistics are discussed. The ICCP protocol is covered in detail, including a basic ICCP overview, Block 1, Block 2, Block 4, Block 5 and so on.

The OpenHIS architecture and its relationship to RDBMS is covered including how OpenHIS writes data to the RDBMS, the structure of the RDBMS tables and how those tables are dynamically generated. The default OpenHIS archive groups for SCADA data, Alarms and SOE archival are discussed. Database replication and synchronization is also covered.

How to create SQL (Structured Query Language) commands and how to use them in retrieving information is covered. Students will create several reports containing historical data using Excel, Voyager tabulars and Advanced Tabulars.

Students learn how to configure CHRONUS to define collection sets, assign points to collection sets and define rules for collections. How to administer a CHRONUS system is also covered.

Topics covered in this course include:

·        Overview of CHRONUS

·        System capabilities

·        Archival process

·        CHRONUS processes

·        HSH Manager

·        System Configuration

·        Collectors/Importers

·        CDS Types

·        Query Servers

·        Historical Plugins

·        Configuring Point Archival

·        HSH Monitor

·        Data Import

·        HRS Importer

·        Flat File Importer

·        Cassandra Overview

Students learn how to configure CHRONUS to define collection sets, assign points to collection sets and define rules for collections. How to administer a CHRONUS system is also covered.

Topics covered in this course include:

·        Overview of CHRONUS

·        System capabilities

·        Archival process

·        CHRONUS processes

·        HSH Manager

·        System Configuration

·        Collectors/Importers

·        CDS Types

·        Query Servers

·        Historical Plugins

·        HSH Administration Console

·        Data Collection with DBMS Collector

·        UID Management

·        Rename stream and stream group UID

·        Delete stream and stream group UID

·        HSH Monitor

·        Data Import

·        HRS Importer

·        Flat File Importer

·        Cassandra Overview

An overview of the configuration and administration of a monarch system. Administration topics covered include using OSI System Monitor to monitor the status of servers and other network devices, installing the OpenView client on workstations and the process for performing server and site failovers.

Additional configuration topics covered:

·        OSI file directory structure and environment

·        System setup, configuration and processes

·        Using Site Manager to monitor processes and perform failovers

Administering the system with SCM is also covered. The process of setting up new users and consoles in OpenView is discussed. Other topics covered include configuring permissions for users and workstations as well as modifying product settings and configuration files.

Additional SCM topics covered include:

·        Configuration and management of users, consoles and groups

·        Permission and setting inheritance

·        Working with configuration files

·        Reporting options in SCM

An overview of performing database maintenance in the DataExplorer application. Maintaining databases in a multi-user environment is covered including committing changes, synchronizing databases across multiple monarch domains/systems as well as how to perform a roll back to undo changes in the event of a potential problem. Using Maintenance Center is also covered.

Additional DataExplorer topics covered include:

·        Checking and locking records for editing

·        Editing and finalizing modifications and implementing changes

·        Organizing data in a customized format outside the standard database structure for streamlined editing

·        Committing changes to production and development systems using the Rollout Wizard

·        Task configuration and how to use tasks to perform various aspects of database maintenance across the system

·        Permissions management for designating user authority for editing, change management, commitment and rollouts

An overview of performing database maintenance in the Maintenance Center application. Maintaining databases in a multi- user environment is covered including committing changes, synchronizing databases across multiple monarch domains/systems as well as how to perform a roll back to undo changes if necessary. Using the DataExplorer plugin to make database edits is also covered.

This course is an introduction to the OpenCalc™ subsystem. Students learn how to create their own calculations using the OpenCalc language. The structure of a calculation is discussed including how to set the period, priority and type of a calculation. Interacting with your calculations both within and outside of OpenView is covered such as compiling and running calculations. The options for troubleshooting calculations are talked about including the log files created by OpenCalc and user-created log files. Calc formulas are also discussed.

The OpenCalc programming language is covered in detail. Many of the built-in functions are discussed and example calculations are shown to demonstrate how to use the built-in functions in calculations. The examples cover topics such as reading and writing data from monarch databases, issuing alarms and controls and using the various built-in electrical functions in a calculation. Options for propagating quality codes on SCADA points used in calculations is also discussed.

Students write several calculations to become familiar with creating, compiling and troubleshooting their own calculations. Sample calculations include calculations that run with a defined period as well as calculations that run on-demand through user input such as clicking a button on a display.

This course covers the creation of custom monarch databases and custom OpenCalc applications. The definition or schema file for a database is discussed in detail. The structure of the schema file, the data types available and the rules for proper data alignment in a database are covered in detail. The process of creating and configuring monarch databases is also discussed.

Students create a custom database and configure the database to be used in the monarch system. They then create a new display to present the information in the database and create calculations that access and modify the information in the database.

This course is intended for anyone interested in creating their own databases is the monarch system as well as anyone interested in creating custom applications using OpenCalc.

Students receive an in-depth review of OpenLSR functionality and architecture as it relates to SCADA and other functions.

This course includes information on configuring OpenLSR and creating new load shed groups and load shed blocks. Database parameters and configurations are discussed. Students learn how the block load shedding and rotational load shedding operate. Students also learn about frequency-based load shedding. Interactions of OpenLSR and SCADA are to be covered in-depth. Students also learn how to implement an effective load shed strategy and how to build and verify the OpenLSR database tables. Underfrequency load shedding is also be covered in detail.

In this course, students receive an in-depth review of SOM Planner functionality and architecture as it relates to SCADA, eMap, and other functions. The first half of this class focuses on an end-to-end use case starting from a request though the execution of a switch order. The second half focuses on how to configure each part of requests, switch orders and switch order steps.

·        Reviewing active requests for work, active switch orders, changes to switch orders and workflow history for a switch order

·        Submitting a request for work, approving a request for work and auto-generating a switch order

·        Creating, opening and archiving switch orders

·        Adding a section header or manual step to an existing/open switch order and modifying the header data of a switch order

·        Adding a step that is linked to a device from monarch (select device in OpenView and export to SOM) to an existing or new switch order

·        Adding a reverse set of steps or reordering steps in a switch order

·        Executing a switch order in real time, simulating a switch order in study mode and reviewing results

·        Associating, issuing and releasing a permit (safety document) to a switching order

·        Adding a tag operation to a device that is already in the switch order

·        Recording steps in study mode and adding to a new or existing switch order

·        Exporting switching steps from FLISR

·        Jump from a switch order document step to a display in OpenView, or from an OpenView tag to a switch order

·        Configuring Custom Fields, Tables and Page Layouts

·        Configuring calendar templates

·        Configuring request and switch order workflows

·        Configuring step common verbiage rules and multi-step templates

·        Configuring permits and crews

This course shows you how to build complex displays using Advanced Tabulars. Students will learn more about using virtual and calculated fields within a display as well as using parameters to control the behavior of displays.

Building historical reports within Advanced Tabulars is also discussed. Reports using both CHRONUS and OpenHIS data will be created.

Students receive an in-depth review of OpenNet functionality and operation. The course covers operational capability and benefit, theory of operation and algorithms, user interface, database requirements, maintenance and tuning, upgrade and installation, performance characteristics, interfaces with other applications including SCADA and other system modules.

In-depth course topics include:

·        OpenNet overview and user interface

·        OpenNet inputs and outputs

·        OpenNet reports, troubleshooting and tuning

·        OpenNet functions/features

·        OpenNet architecture and interfaces

·        OpenNet setup and functional operation

·        OpenNet data import and export

·        Power system modeling

·        Topology Processor

·        Power Flow

·        State Estimator including observability analysis, bad data detection and measurement error analysis

·        Profiles

·        Contingency Analysis and Contingency Screening

·        Penalty factors

·        Real-Time Sequence Control

·        Short Circuit Analysis

·        Available Transfer Capacity

·        Conditional Action Schemes

·        Sensitivity Analysis

·        Optimal Power Flow

·        SCADA Interface

·        Study Mode Operations

·        Save cases

Students receive an in-depth review of CIM Studio features, functionality and operation. Students learn how to use a standalone CIM “sandbox” to edit/maintain and manipulate power system network model data in a CIM format. Students will also learn how to install and configure CIM Studio.

In-depth course topics include:

·        Introduction to CIM model

·        CIM Studio overview

·        User interface and configuration

·        Editor for Common Information Model (CIM) data

·        Graphical editor for creating one-lines related to CIM data

·        Auditing and error logging

·        Model maintenance for monarch databases including bi-directional model transfer between CIM and monarch

·        Revision control

Students receive an in-depth review of OpenVSA functionality and operation. Students learn how to determine system voltage stability margins and identify potential voltage instability problems in both real time and study mode. Students will also learn how to install and configure OpenVSA.

In-depth course topics include:

·        Introduction to stability analysis

·        OpenVSA overview

·        OpenVSA features

·        User interface and configuration

·        Identification of loading regions and generation compensation

·        Continuation Power Flow set up and tuning

·        Plotting and data analysis

·        Introduction to study mode and control devices

·        Study mode functions

·        Power Flow control flags

Students receive an in-depth review of OpenTSA functionality and operation. Students learn to study and monitor the overall dynamic security of an electrical generation and transmission system. Students evaluate a designated set of power system events against both base case and contingent state and will be able to provide an indication of those that could cause generators to lose synchronism and separate from the system or cause undamped low-frequency oscillations.

In-depth course topics include:

·        Introduction to transient stability analysis

·        OpenTSA overview

·        User interface and configuration

·        Modeling

·        Configuring scenarios

·        Configuring a fault event

·        Running analysis

·        Running a simple scenario

·        Scenario screening

·        Pausing and resuming a scenario

·        Viewing results

·        Plotting result data

An in-depth review of OpenOTS functionality and operation. The course covers operational capability and benefit, theory of operation and algorithms, instructor user interface, database requirements, maintenance and tuning, upgrade and installation, performance characteristics, interfaces with other applications, SCADA and other system modules.

In-depth course topics include:

·        OpenOTS overview (simulation and training modes), purpose, usage and user interface

·        OpenOTS key features/components

·        OpenOTS inputs and outputs

·        OpenOTS software functions/features

·        OpenOTS architecture and interfaces

·        OpenOTS setup and functional operation

·        OTS steady state initialization

·        Power system modeling

·        Generator and frequency modeling

·        Black start and islanding simulation

·        Relay modeling

·        EAGC modeling

·        Load modeling

·        Scenario building

·        Simulation control

·        Event generation and processing

·        Control center modeling

·        Automatic generation control interface

·        SCADA interface

·        Save cases

This is a refresher course for Aspen HYSYS fundamentals and designed for participants who are preparing to take the Aspen HYSYS User Certification Exam. This version is delivered virtually through a 4-hrs online instructor-led session with access to virtual training lab for self-practices followed by the Certification Exam in the afternoon.

This is a refresher course for Aspen Plus fundamentals and designed for participants who are preparing to take the Aspen Plus User Certification Exam. This version is delivered virtually through a 4-hours online instructor-led session with access to virtual training lab for self-practices followed by the Certification Exam in the afternoon

• Graphical User Interface (GUI)
• Creating a Project Basis
• Developing Components
• Project & Component Costs
• APEA Project Design Systems
• Revising Your Project Basis Using Preset Contractor Profiles
• Area Concepts

• Overview of Industrial AI and digital twin.
• Introduction to Aspen AI Model Builder (AIMB) Deskstop/Cloud.
• Demonstration – data import, cleaning, model development and deployment
• Workshop – hands-on example with step-by-step instruction.

Upon successful completion of this course, you will be able to: 

• Develop the skills and techniques required for modeling new and existing processes, in steady state.
• Build and troubleshoot flowsheet simulations, with distillation columns, reactors, heat exchangers, pressure changers, and separators.
• Reduce process design time by evaluating various plant configurations with respect to sustainability (costs, material and energy usage, effect on environment). 
• Determine optimal process conditions for new or existing processes and help de-bottleneck processes

Learn the basics on flowsheet-driven process simulation by building a complete simulation step by step. Identify the main unit operations, analysis tools and reporting options that Aspen Plus has to offer. This format has a self-drive approach by using a combination of digital content (recorded modules, KB articles, Course Material) and a few instructor-led sessions.

Upon successful completion of this course, you will be able to: 

• Develop the skills and techniques required for modeling new and existing processes, in steady state.
• Build and troubleshoot flowsheet simulations, with distillation columns, reactors, heat exchangers, pressure changers, and separators.
• Reduce process design time by evaluating various plant configurations with respect to sustainability (costs, material and energy usage, effect on environment). 
• Determine optimal process conditions for new or existing processes and help de-bottleneck processes

• Create user interfaces to complex simulations for end-users unfamiliar with Aspen Plus
• Use MS Excel® functionality such as plots, calculations, formatting, etc. to enhance the display of simulation results
• Link simulation models to online plant data for on-demand advisory

• Create user interfaces to complex simulations for end-users unfamiliar with Aspen Plus
• Use MS Excel® functionality such as plots, calculations, formatting, etc. to enhance the display of simulation results
• Link simulation models to online plant data for on-demand advisory

• Learn how to specify and use properties in your steady-state and dynamic simulations by gaining a better understanding of the Aspen Plus physical properties system

• Learn how to specify and use properties in your steady-state and dynamic simulations by gaining a better understanding of the Aspen Plus physical properties system

• Review and analyze convergence and optimization features in Aspen Plus sequential run mode.
• Review convergence problems and examine methods to troubleshoot and handle them.

• Learn to configure, manipulate, and solve flowsheets in Equation Oriented (EO) solution mode and how to convert your sequential model (SM) simulations to EO.
• Learn when to use EO versus SM and how SM features are translated to EO. Troubleshoot common EO simulation errors.

• Learn how to synthesize the best separation sequences that achieve desired separation tasks
• Learn how to simulate complex features in distillation processes, including azeotropic, three-phase, and reactive distillation as well as columns with features such as pumparounds, side draws, multiple condensers, etc. using Aspen Plus
• Learn to troubleshoot distillation column models, enhance convergence, and evaluate model quality

• Learn how to synthesize the best separation sequences that achieve desired separation tasks
• Learn how to simulate complex features in distillation processes, including azeotropic, three-phase, and reactive distillation as well as columns with features such as pumparounds, side draws, multiple condensers, etc. using Aspen Plus
• Learn to troubleshoot distillation column models, enhance convergence, and evaluate model quality

• Learn how to define overpressure systems using Aspen Plus in accordance with API 520, 521, and 2000
• Design single or multiple relief valves for all applicable scenarios in an overpressure system
• Document the full overpressure analysis within Aspen Plus

• Begin modeling new and existing processes
• Build and troubleshoot flowsheet simulations
• Reduce process design time by evaluating various plant configurations
• Determine optimal process conditions for new or existing processes
• Help de-bottleneck processes

• Explain the capabilities and applications of the heat transfer unit operations and calculations available in Aspen Plus
• Discover common features and basic construction characteristics  of common industrial heat exchangers
• Learn how to integrate rigorous heat transfer calculations from Aspen Exchanger Design & Rating with an Aspen Plus simulation using the Activated EDR feature (Demo)
• Observe and apply additional methods to link Aspen Plus simulation data and the Aspen Exchanger Design & Rating calculation tools

• Identify and explain the various classes of reactor models available in Aspen Plus
• Model balance based reactors, equilibrium based reactors, and kinetics based reactors
• Analyze different reaction types and review results
• Identify and explain reaction specification requirements
• Calculate reaction rates with user kinetic subroutines in Fortran
• Review the details on other reaction types and the concept of non-ideal reactors
• Use the Aspen Plus Data Fit tool to estimate and reconcile plant or lab data

• After completing this training course you will be able to model polymerization processes using Aspen Polymers.  Through a combination of classroom-style instructions and hands-on workshops, you will learn to:
• Define a complete polymer process flowsheet model, including the polymer characterization, the unit operations, and the physical property models
• Specify various polymerization kinetic schemes, starting from background theoretical information, to their implementation and use in Aspen Polymers
• Use reactor tuning parameters, as they apply to variables in a polymer process, in order to achieve convergence
• Estimate polymer properties and also regress them from experimental data
• Perform engineering studies and plant data fitting
• Apply models to test concepts for plant improvements

• Define a complete polymer process flowsheet model, including the polymer characterization, the unit operations, and the physical property models 
• Specify Free-radical polymerization kinetic schemes, starting from background theoretical information, to their implementation and use in Aspen Polymers
• Estimate polymer properties and also regress them from experimental data
• Perform engineering studies and plant data fitting

• To provide customers with all the skills and understanding required to set up and solve their own dynamic simulation problems using Aspen Chromatography
• Develop familiarity with the Aspen Chromatography application in  order to access and navigate within the graphical user interface
• Identify and explain:
• Modeling conventions used
• Underlying modeling assumptions
• Demonstrate how to use the Chromatography model library for:
• Batch Chromatographic processes
• Ion Exchange Chromatography
• Simulated Moving Bed processes (SMB)
• Parameter estimation
• Steady state optimization
• Apply acquired knowledge through hands-on workshops

• Become proficient in modeling processes containing solids
• Determine optimal process conditions for new or existing solids processes
• Support troubleshooting and de-bottlenecking of solids processes

• Lean how to set up simulations for aqueous ionic systems in Aspen Plus
• Learn how to use electrolyte properties by gaining a better understanding of the Aspen Plus electrolyte physical properties system
• Address special issues when modeling processes with aqueous ionic solutions

• Configure flowsheets in Aspen Plus using the graphical user interface
• Solve and optimize flowsheets using the Equation Oriented (EO) strategy
• Tune flowsheets using real-time data with parameter estimation and data reconciliation using Aspen OnLine™
• Use Aspen Plus to work effectively on real-time optimization projects

• Understand the pre-requisite of the program before start running Aspen OnLine.
• Setup Aspen OnLine project.
• Load all supported process simulation models in the project.
• Learn how to import and export tags and mapping variables in process simulation models. 
• Learn how to schedule the automated run and data synchronization between historian and process simulation models.
• Troubleshoot common basic issues during the use of Aspen OnLine.

• Develop a working knowledge of the architecture and implementation options associated with Aspen Basic Engineering (ABE)
• Learn how to use ABE administration tools to setup projects and configure workspace settings
• Recognize how multiple data sets are used and interpreted by ABE and external applications
• Learn how to create class libraries, define datasheets, and create symbols and labels
• Examine the major features of the ABE Rules Editor for setting up knowledge base items

• Use existing simulation models to evaluate project economics and maximize your return on investment
• Learn to develop an economic evaluation and proposed design using Aspen Process Economic Analyzer
• Obtain detailed design results for both equipment and installation bulks with minimal input, and by integrating operating cost, capital cost, and schedule
• Learn to analyze different process alternatives in simulation and determine the more profitable approach

• Learn to create and build detailed project estimates using Aspen In-Plant Cost Estimator
• Learn how to use the Aspen In-Plant Cost Estimator system more effectively, tailoring it to specific project estimates

• Learn advanced topics for creating and building detailed project estimates using Aspen Capital Cost Estimator (ACCE)
• Learn how to use the Aspen Capital Cost Estimator more effectively, tailoring it to specific project estimates

This training will help you gain a deeper appreciation of AspenTech innovations in the Artificial Intelligence realm and how it can help your organization through its Digital Transformation journey

Build and deploy predictive hybrid models within process simulators to improve accuracy for several types of unit operations

Understand the power of first principles-driven hybrid models in industrial applications. Learn the advantages of integrating mechanistic principles with AI and machine learning techniques to create accurate, predictive models. Develop hybrid models tailored for critical processes such as distillation columns, reactors, heat exchangers, pressure changers, and separators. Additionally, use real-time plant data to enhance model accuracy to replace inadequately modeled relationships not fully captured by traditional engineering models.

• Identify and explain the basic concepts of heat transfer in association with fired heaters
• Recognize how thermal calculations are used by the Aspen Fired Heater application
• Recognize the features and functional capability of the Aspen Fired Heater application
• Efficiently use the Aspen Fired Heater application to evaluate:
  • Vertical Cylindrical Unit (VCU) with convection bank
  • Twin cabin firebox
  • Single cabin fired heater with roof tubes
• Demonstration using Activated EDR integrated heat exchanger software in conjunction with Aspen HYSYS and Aspen Plus to improve the performance of heat exchangers in the overall process

• Identify and explain the basic concepts of heat transfer in association with plate fin exchangers
• Recognize how thermal calculations are used by the Aspen Plate Fin Exchanger application
• Recognize the features and functional capability of the Aspen Plate Fin Exchanger application
• Efficiently use the Aspen Plate Fin Exchanger application to evaluate:
• Single-phase exchangers
• Cryogenic condensers
• Cryogenic reboilers/vaporisers
• Multi stream/layers exchangers
• Demonstration using Activated EDR integrated heat exchanger software in conjunction with Aspen HYSYS and Aspen Plus to improve the performance of heat exchangers in the overall process

• Improve awareness about simulation tools under EDR to solve real process problems.
• Explore the basic geometric inputs to simulate heat exchanger.
• Recognize the features and functional capability of the EDR to model different types of heat exchangers

• Learn the basic concepts for the mechanical design of shell and tube heat exchangers using Aspen Shell & Tube Mechanical software, a member of the Aspen EDR™ family of heat transfer equipment design software
• Develop a working knowledge of the Shell & Tube Mechanical application to effectively design and check/rate existing equipment for compliance to latest code rules

• Quick run-through on Aspen HYSYS fundamentals with hands-on exercises
• 4hrs live session with our Aspen HYSYS instructor
• Access to Aspen HYSYS software provided through an interactive cloud-based environment. 

• Learn to characterize crude feed assays, track key petroleum properties, perform case studies, optimize unit operations and troubleshoot refinery process units. 
• Build, evaluate and optimize Refinery Models including complicated refinery reactors using Aspen HYSYS® Petroleum Refining 

• Create user interfaces to complex simulations for end-users unfamiliar with Aspen HYSYS
• Use MS Excel® functionality such as plots, calculations, formatting, etc. to enhance the display of simulation results
• Link simulation models to online plant data for on-demand advisory

• Learn to build, navigate and optimize process simulations using Aspen HYSYS and Aspen HYSYS Petroleum Refining
• Learn efficient use of different HYSYS functions to build steady-state refinery process simulations

• Ensure a smooth migration to Aspen HYSYS V8.0 and above by learning the interface enhancements such as the new ribbon interface to facilitate workflow for typical model development.
• Understand how to use the various HYSYS modeling Environments based on your modeling needs
• Learn new engineering features to enhance process modeling and improve simulation results

• Develop the skills and techniques required for creating and running dynamic simulations. 
• Build dynamic models of vessel relief scenarios, compressor surge control, distillation column control, and pipeline hydraulics. 
• Develop distillation column control with detailed geometry using the Column Analysis tool. 
• Apply the best practices for transitioning from steady-state to dynamic modeling and discover shortcuts for efficient use of HYSYS Dynamics.

• Develop the skills and techniques required for creating and running dynamic simulations. 
• Build dynamic models of vessel relief scenarios, compressor surge control, distillation column control, and pipeline hydraulics. 
• Develop distillation column control with detailed geometry using the Column Analysis tool. 
• Apply the best practices for transitioning from steady-state to dynamic modeling and discover shortcuts for efficient use of HYSYS Dynamics.

• Recognize the benefits of using automation in conjunction with Aspen HYSYS
• Reinforce programming concepts that support automation in Aspen HYSYS
• Use Visual Basic and Excel to create automation solutions for Aspen HYSYS simulation models

• Learn to develop custom unit operations in Aspen HYSYS
• Learn the efficient use of different HYSYS functions to understand how custom unit operations work

• Describe the basic infrastructure of Aspen HYSYS Extension Unit Operations
• Build and troubleshoot a Dynamic Unit Operation Extension

• Learn the fundamental flare network modeling techniques for pipeline design.
• Learn the basics for rating a flare convergent, divergent and looped network for the constraint violations (Mach number, MABP, Noise, velocity, RhoV2) & for pressure, temperature and flow profile throughout the network.
• Understand the solver messages to analyze the flow network problems and review options to take corrective measures.
• Review results to perform process safety studies for pressure & temperature beyond allowable range and erosion problems (RhoV2) for healthiness of the flow network in the real plant.
• Review flare network simulation computation convergence problems and examine solver solution methods.
• Discuss customize reports using MS excel macro
• Import  sources from Aspen HYSYS®, Export and import data from the MS access and MS excel

• Learn how to define overpressure systems using Aspen HYSYS and Aspen Plus in accordance with API 520, 521, and 2000
• Design single or multiple relief valves for all applicable scenarios in an overpressure system
• Document the full overpressure analysis within Aspen HYSYS/Aspen Plus

• Learn efficient use of different HYSYS petroleum refining functions to build steady-state catalytic reformer reactor model
• Study and understand difference between simulation and calibration environments of catalytic reformer reactor model
• Calibrate catalytic reformer reactor model with plant measurement data
• Develop skills to build catalytic reformer reactor model template and integrate with Hysys petroleum refining flowsheet  
• Learn to evaluate catalytic reformer reactor model performance with various operating conditions
• Learn to generate delta vectors through HYSYS petroleum refining functions for optimization in PIMS

• Learn efficient use of different HYSYS petroleum refining functions to build steady-state hydrocracker reactor model
• Study and understand difference between simulation and calibration environments of hydrocracker reactor model
• Calibrate hydrocracker reactor model with various plant measurement data
• Develop skills to build fluid hydrocracker model template and integrate with Hysys petroleum refining flowsheet  
• Learn to evaluate hydrocracker reactor model performance with various operating conditions
• Learn to generate delta vectors through HYSYS petroleum refining functions for optimization in PIMS

• Learn efficient use of different HYSYS petroleum refining functions to build steady-state FCC reactor model
• Study and understand difference between simulation and calibration environments of fluid catalytic cracking reactor model
• Calibrate fluid catalytic cracking reactor model with various plant measurement data
• Develop skills to build fluid catalytic cracking reactor model template and integrate with Hysys petroleum refining flowsheet  
• Learn to evaluate fluid catalytic reactor model performance with various operating conditions
• Learn to generate delta vectors through HYSYS petroleum refining functions for optimization in PIMS

► Upon completion the engineer should understand how:

• To perform basis design or rate a heat exchanger for a given application

• To select an appropriate heat exchanger type for a given application

► Learn the fundamentals of producing an optimized shell & tube heat exchanger design

► Discover how to accurately rate and simulate existing heat exchangers, thus increasing your understanding of existing equipment and its influence on an overall process

►Mechanical design of exchangers is not covered in detail in this training module

Upon completion the engineer should understand how:

►Understand the key elements for successful PSV design and rating

►Develop the skills and techniques required to model pressure relief devices in the Safety Analysis Environment 

►Define different scenario types for pressure relief devices

►Learn how to generate PSV Datasheets for reporting purposes

-

Upon completion the engineer should understand how:

► Reduce process design time by using advanced features of RadFrac

► Perform Tray Sizing/Rating and Packed Sizing/Rating calculations

► Use column analysis tools to optimize the feed location and number of stages and improve energy utilization

► Improve distillation model stability and accuracy 

Build, navigate and optimize 3D conceptual models using Aspen OptiPlant. It enables users to model 3D equipment & structures and automatically route 3D interference free pipe. And use the 3D model in the proposal, front-end loading and FEED stage of optimizing and study plot plans, conceptualizing the design and produce an accurate piping and structural MTO.

• Regress parameters from solid solubility experimental data using Aspen Solubility Modeler
• Evaluate solid solubility in various solvents using Aspen Solubility Modeler

The Industrial AI Fundamentals course provides a comprehensive understanding of how Industrial AI can be leveraged to optimize and transform industrial processes. This course provides an understanding of what differentiates Industrial AI from off the shelf machine learning methods and exemplifies problems that it solves in various industrial settings to drive agility, guidance and automation. The course also includes case studies on real world examples of AI Implementation.

Expert-Led Training, Interactive Workshops and Technical Skill Development

April 15 and 16 are dedicated to Interactive hands-on workshops enabling participants to learn directly from AspenTech subject matter experts in a face-to-face environment. Gain practical experience through engaging sessions with case studies and best practices for using AspenTech Industrial AI™ solutions. You will acquire valuable skills that can be applied to your current workflows, boosting productivity and automation.

Upon completion of this course, participants will be able to use fundamental knowledge on refining processing and the use of process simulations. They will:

• Develop a baseline understanding of refining business from feedstocks to products
• Develop a baseline understanding of key process technologies
• Leverage the intuitive solving capabilities and other key features of Aspen HYSYS and Aspen HYSYS Petroleum Refining
• Gain confidence in modeling distillation and fractionation columns
• Perform Case Studies to determine the optimum operating points for a process
• Learn the different options for defining and managing crude oil assay information and properties

• Improve awareness about simulation tools under EDR to solve real process problems.
• Explore the basic geometric inputs to simulate heat exchanger.
• Recognize the features and functional capability of the EDR to model different types of heat exchangers

Learn how to design better and more efficient heat exchanger networks using Aspen Energy Analyzer with Aspen Plus or Aspen HYSYS. Learn how to optimize distribution of energy and mass flow considering energy savings and capital cost trade off.

• Learn the fundamental flare network modeling techniques for pipeline design.
• Learn the basics for rating a flare convergent, divergent and looped network for the constraint violations (Mach number, MABP, Noise, velocity, RhoV2) & for pressure, temperature and flow profile throughout the network.
• Understand the solver messages to analyze the flow network problems and review options to take corrective measures.
• Review results to perform process safety studies for pressure & temperature beyond allowable range and erosion problems (RhoV2) for healthiness of the flow network in the real plant.
• Review flare network simulation computation convergence problems and examine solver solution methods.
• Discuss customize reports using MS excel macro
• Import  sources from Aspen HYSYS®, Export and import data from the MS access and MS excel

Learn how to model the oxygen removal process to convert waste cooking oil into green diesel. Users will learn how to model a hydroprocessing reactor to produce normal paraffins and improve its cold flow properties through isomerization in a hydrotreating reactor. Users will then evaluate final product quality by cetane number calculation, and review CO2 emissions to ensure sustainability target is met.

Review building carbon capture models using Aspen HYSYS. Learn how to create projects in Aspen OnLine, which allows running the Aspen HYSYS model in real time as an advisory or for real-time optimization allowing users to meet their sustainability goals, such as minimizing emissions and energy usage. Users first focus on reviewing key features of first principles model building in Aspen HYSYS and then learn how to deploy this model online.

• Learn how to synthesize the best separation sequences that achieve desired separation tasks
• Learn how to simulate complex features in distillation processes, including azeotropic, three-phase, and reactive distillation as well as columns with features such as pumparounds, side draws, multiple condensers, etc. using Aspen Plus
• Learn to troubleshoot distillation column models, enhance convergence, and evaluate model quality

Chemical and energy companies are formulating strategies to mitigate the carbon emissions significantly as part of their sustainability plans. Among the different approaches to mitigate carbon emissions, hydrogen economy is seeing strong momentum reflected in announced capital projects that aim to deliver hydrogen generation and storage at scale. Alkaline electrolysis is one of the few mature technologies for hydrogen production at industrial scale In this workshop, you will develop the practical skills to build a steady state custom model of Alkaline Electrolyzer for hydrogen production and export the model to Aspen Plus, through hands-on approach with relatively less emphasis on theory..

• After completing this training course you will be able to model polymerization processes using Aspen Polymers.  Through a combination of classroom-style instructions and hands-on workshops, you will learn to:
• Define a complete polymer process flowsheet model, including the polymer characterization, the unit operations, and the physical property models
• Specify various polymerization kinetic schemes, starting from background theoretical information, to their implementation and use in Aspen Polymers
• Use reactor tuning parameters, as they apply to variables in a polymer process, in order to achieve convergence
• Estimate polymer properties and also regress them from experimental data
• Perform engineering studies and plant data fitting
• Apply models to test concepts for plant improvements

• Become proficient in modeling processes containing solids
• Determine optimal process conditions for new or existing solids processes
• Support troubleshooting and de-bottlenecking of solids processes

Review building carbon capture models using Aspen Plus. Learn how to create projects in Aspen OnLine, which allows running the Aspen Plus model in real time as an advisory or for real-time optimization allowing users to meet their sustainability goals, such as minimizing emissions and energy usage. Users first focus on reviewing key features of first principles model building in Aspen Plus and then learn how to deploy this model online.

Actualmente, la exploración de procesos alternativos para minimizar las emisiones de CO2 y mantener la demanda energética mundial es uno de los principales objetivos a nivel global.

Una opción económicamente viable promueve la producción de H2 a partir de fuentes renovables como la biomasa. Esta alternativa ha crecido en investigación y desarrollo debido a que existen varios procesos para la producción de H2, siendo el reformado de compuestos oxigenados a partir de biomasa, una de las opciones más favorables, esto debido a los beneficios ambientales y la seguridad en el almacenamiento de la materia prima.

En este taller se explicará cómo definir correctamente el entorno de propiedades de Aspen Plus y cómo construir un proceso en el entorno de simulación. Este taller le guiará a través de los pasos para añadir al menos una de todas las operaciones unitarias descritas y cómo añadir corrientes a la misma.
 

Este taller introductorio proporciona una breve introducción al uso de Aspen HYSYS. Cubre una orientación básica desde la definición del entorno de propiedades hasta el entorno de simulación. Se ofrece una breve introducción a los modelos de transferencia de calor, así como a las opciones de columna disponibles en HYSYS.

Aspen Tech is excited to offer a brand-new training that combines domain practice on linear programming, production planning, and refinery economy. Delivered by domain expert from Aspen Tech, the participants will learn some real-life key points that has great impact on maximizing refinery gross margin. We will also discuss the best practices on LP model tuning, assay management, cut-point optimization, and methods to increase the overall model accuracy.

Learn how to Maximize margins by integrating planning, scheduling, dynamic optimization, and advanced process control (APC) using the Aspen Unified™ platform. This course focuses on how to achieve operational excellence by aligning plans, schedules, and actual outcomes to drive faster and more optimized business results. Explore how Aspen Unified™ streamlines workflows through automation and simplification, reducing time to value for your organization. Real-world case studies on successful Aspen Unified™ implementations will provide practical insights into its impact on operations.

• Gain familiarity with key Aspen Petroleum Scheduler database and interfaces: Event and Flowsheet
• Practice building and simulating a refinery model
• Perform exercises in scheduling a variety of event types
• Simulate/publish a schedule to the results database
• Recognize and understand how Aspen Petroleum Scheduler facilities the overall planning and scheduling work process

• PART I leads you step-by-step through building a model of a medium conversion refinery and scheduling the refinery operations in Aspen Petroleum Scheduler
• PART II provides instruction on modeling solutions for both common and unique configuration and scheduling logic problems

• Configure and build an MBO model with all the necessary components to run the optimizer
• Import data from Orion
• Set baseline conditions for the simulation
• Define all the MBO event types necessary to develop a blend schedule
• Run both the MBO and SBO
• Use a number of different MBO reports to interpret results and troubleshoot infeasibilities
• Use Cases and States to run “what if” scenarios

Upon completion of this course, participants will be able to use fundamental economic thinking and concepts to support business profitability and success. They will:

• Develop a baseline understanding of economic fundamentals
• Connect those fundamentals to petroleum refining and the broader market
• Understand how to connect these concepts with business success
• Learn LP fundamentals
• Gain familiarity with key Aspen PIMS tables and formats
• Develop simple Aspen PIMS model and understand how the matrix structures are generated
• Execute and troubleshoot various case scenarios and analyze information from Aspen PIMS reports
• Perform basic economic evaluations

• Recognize what Aspen PIMS is, who uses it, and how it is used
• Gain familiarity with key Aspen PIMS tables and formats
• Identify and explain basic Aspen PIMS cases
• Analyze and interpret information from Aspen PIMS reports and PIMS Platinum
• Perform basic economic evaluations using Aspen PIMS results
• Provide an overview of Aspen PIMS Platinum

• Build petrochemical planning models in PIMS to generate optimum plans including evaluating alternative feeds, process units, products, and markets
• Develop Linear Programming (LP) structure in order to solve optimization problem including interpreting and analyzing the LP solutions
• Review data tables and structures required to build and maintain a model
• Understand the structures for developing typical petrochemical process units like pooling, delta based models, and compositional recursion

• Explain multi-period refinery modeling techniques using PPIMS
• Implement intermediate Aspen PPIMS modeling techniques to solve real planning issues
• Apply constraints to the model using a variety of Miscellaneous tables

• Introduce Aspen PIMS Platinum functionality and learn to customize it
• Run a case using Aspen PIMS Platinum Case Runner
• Integrate Aspen Assay Management into your existing Aspen PIMS workflow
• Execute a Spot Crude Evaluation using Aspen Assay Management
• Modify assay data using Aspen Assay Management

• Provides an in-depth exploration of the capabilities of Aspen PIMS Advanced Optimization
• How-to training on Advanced Optimization Analysis, including Parametric Programming, Ranging Analysis, Goal Programming, and Feedstock Basket Reduction

• Debug properties recursion and error distribution structure and problems
• Address Mixed Integer Situations using Aspen PIMS MIP capabilities
• Apply Aspen Blend Model Library and other blending techniques to model rigorous blending
• Troubleshoot and solve modeling and convergence problems using Aspen PIMS reports and tools
• Model special situations that require non-standard structure
• Use Aspen PIMS’s non-linear functionalities
• Perform Solution Analysis using Aspen PIMS-Advanced Optimization tools
• Manage local optima problems in the DR and AO environments

Gain the skills necessary to work with OpenGeo, one of AspenTech’s development toolkits. The Aspen Epos OpenGeo devkit training teaches users how to manage data in these domains:

• Epos project study

• Epos survey study (2D and 3D)

• Epos well study

• Project/survey metadata

• Seismic data: 3D, 2D, poststack, prestack

• Seismic interpretation: horizons, faults

• Vertical functions

• Well data

Using a hands-on, practical approach, this course is designed to help users learn how to perform sophisticated formation evaluation using Multimin, the advanced petrophysics application in Geolog.

The user is guided through the following examples:

• A documented example of a simple analysis, and then further interpretation of the example

• Complex example

• Silt example

• NIMBLE example

This training course introduces you to the Geophysics applications within Aspen Geolog. The first part of the course will guide you through typical workflows to generate a synthetic seismic trace and estimate pore pressure. The later parts will demonstrate the steps in the fluid substitution workflow, first determining fluid, solid grain and in-situ rock properties then using these as input to the Gassmann model. 

Aspen Geolog Geosteer is a comprehensive toolbox for geologically steering a well through the geology of the subsurface. The correlation between expected or modeled logs, and real-time LWD log curves helps, during drilling, to quantify and qualify the number of adjustments that need to be made to the well trajectory to ensure optimal entry into the reservoir, obtain a precise position of the wellbore relative to the geology, and prevent an early exit from the reservoir. Geolog Geosteer offers an effective way to interpret log data in highly deviated wells and can be done at the rig site or in the office. This course teaches the basics of using Geosteer by guiding the user step by step, through a typical workflow.

This course guides users through a reservoir characterization workflow which integrates petrophysical analysis, rock physics, AVO analysis, seismic inversion, and powerful 3D visualization techniques, to identify, visualize and validate hydrocarbon prospects. Users will integrate data from well logs and post- and prestack seismic data using AspenTech tools. A thorough introduction to elastic wave theory, rock physics, AVO theory, and seismic inversion is presented. In addition, the course includes exercises that integrate 2D modeling (wedge modeling) into the AVO analysis workflow.

This course offers a hands-on introduction to the Neural Network Inversion (NNI) workflow in Integrated Canvas. NNI is a technique used to predict rock and elastic properties from seismic attributes and log data. 

In this training, you will follow the four steps of the workflow to generate rock property volumes using angle stack volumes and well logs (density, P-impedance, S-impedance and Poisson's ratio). You will use QC tools within the workflow to fine-tune parameter settings and improve results. Additionally, the course offers a detailed overview of the theory behind NNI, along with guidance on defining and optimizing parameters.

This course provides the user with a comprehensive introduction to Aspen RMS.

Students progress through a series of exercises designed to use tools to import and analyze data, build a model, flow simulation grid and geological modeling grid, model facies and petrophysical data, compute volumetric and assess the impact of uncertainty on the volumes.

Gain insight into the grid construction requirements, the process, and the tools available in Aspen RMS. Learn about the upscaling techniques, and options for exporting the grid and importing a simulation model.

Grid design and post-processing options are covered in more detail in the course RMS202: Advanced Gridding in Aspen RMS. using

This course covers advanced grid construction in Aspen RMS. It covers grid analysis and quality control, advanced options for grid construction, and grid post processing tools.

This two-part course covers facies and petrophysical modeling in Aspen RMS. In the first part, students learn how to model facies properties in clastic environments (fluvial, shoreface, delta and turbidites). The second part teaches how to use the Petrophysical Modeling Job to model petrophysical properties in shoreface, fluvial and turbidite environments.

The parts can be taken separately or together.

This course teaches how to utilize the structural uncertainty tools provided by Aspen RMS to address horizon and fault uncertainty when constructing a structural model and grid, modeling properties, and computing volumetrics. Students will learn how to set uncertainties using the Horizon Uncertainty Modeling (HUM) and Fault Uncertainty Modeling (FUM) tools, and integrate them into a workflow to ensure full reproducibility. The solution is designed to assist decision-makers in recognizing and quantifying the uncertainties associated with structural modeling.

Advanced Horizon Uncertainty Modeling in RMS is the follow-up of the Structural Uncertainty Modeling training course. The objective of this course is to give more details about the advanced well data usage in Horizon Uncertainty Modeling (HUM) job. This includes considering the well trajectory uncertainty when running HUM job and using well pick dip and azimuth as input for conditioning horizon model surfaces

Learn how Aspen RMS can be used to define dynamic well data as input to flow simulation. This course covers the RMS Event model, import of completion and production data, preparation of flow model data, and export of keywords to the flow simulator.

This course provides a hands-on introduction to the Rock Type Classification workflow in Aspen SeisEarth. Rock Type Classification uses a unique machine learning approach to predict rock facies away from the wellbore using well and seismic data. In this training, you will learn how to use the workflow, QC results and fine tune parameters to create a probabilistic facies model based on input lithology logs and seismic attributes.

This hands-on course focuses on the Attribute Clustering workflow in Aspen SeisEarth. Attribute Clustering employs three machine learning methods for unsupervised classification and is used to create facies and probability volumes, maps, or logs from seismic attributes. After an introduction on the theory behind the Attribute Clustering workflow, you will learn how to use the workflow, QC results and fine tune parameters to ensure the best results.

This training course introduces you to waveform classification, an innovative machine learning technique used in Aspen SeisEarth for delineating subtle variations in seismic responses related to reservoir characteristics. You will learn how to effectively utilize the Waveform Classification workflow within Integrated Canvas, which uses neural networks to generate facies maps from seismic attributes.

In this flexible one to two-day course the student learns how to make the most of the unique SKUA technology to build geologically constrained velocity models and perform efficient time-to-depth conversion. Unlike other solutions where structural complexity is a limiting factor, SKUA structural and stratigraphic modeling enables accurate time-to depth conversion in salt and structurally complex environments, and provides all the tools needed to create geologically realistic velocity models.

This course introduces Aspen SKUA (or StratEarth for versions older than Aspen V14) as part of an integrated solution for well correlation.

In this course, users progress through a typical geological workflow: After learning how to prepare and activate well data using Aspen Epos utilities, students discover how to use the tools in Aspen SKUA to pick new markers, correlate existing markers, consolidate existing marker sets and save the results into the database. Lastly, users take advantage of BaseMap and 3D Canvas capabilities for visualization, mapping and volumetric computation to QC and review their results.

This course teaches users how to use SKUA’s unique technology to create geologically accurate structural models, geologic grids and flow simulation grids, regardless of the structural complexity of the reservoir.

This course covers the following topics:

• Introduction to SKUA technology

• Defining the geologic information for reservoir modeling

• Building a 3D structural model

• Building a geologic grid architecture

• Building a flow simulation grid architecture

A rigorous and systematic analysis of reservoir data is key to the construction of a reliable reservoir model. In this two-day course the users progress through a series of comprehensive exercises to gain a practical approach to reservoir data analysis and stochastic property modeling.

The course teaches how to use the Data Trend Analysis workflow and the Reservoir Properties workflow to create robust and realistic 3D models of the lithology, porosity and permeability. This is followed by reservoir volumes computation and post-processing.

Accurate modeling of geological formations is essential for optimizing carbon capture and storage (CCS) processes, as it assists in understanding the subsurface properties and evaluate the potential for safely and efficiently storing carbon dioxide over long periods - which is crucial for mitigating climate change.

The goal of this training is to equip you with the knowledge and skills needed to apply the advanced geological modeling capabilities of Aspen SKUA to the specific context of Carbon Capture and Storage.

Using a real dataset of a field used for carbon sequestration, you will learn various techniques for creating detailed 3D Geological model to predict the behavior of CO2 storage sites, including the assessment of the reservoir’s storage capacity.

In this training course, participants will build, run and analyze the simulation of injecting carbon dioxide into porous rock. This will be achieved by using Aspen Tempest MORE and Aspen Tempest VIEW employing a gas/water black oil model.

In this training course, participants will become familiar with the Aspen METTE interface and processes by executing a forecasting study for a closed-loop well for geothermal applications. The forecasting involves a network simulation with a defined set of production targets and maximum/minimum constraints. Upon completing the course, participants will be equipped to efficiently build closed-loop wells and explore various scenarios.

In this training course, participants will build, run, and analyze a geothermal simulation in porous and non-porous rock. This will be achieved using Aspen Tempest MORE and Aspen Tempest VIEW, employing a black oil model with single phase water injection below the boiling point of water.

Generating an accurate interpretation and model of the subsurface is a crucial step in optimizing hydrogen storage in salt formations and improving our understanding of the salt structure and properties for cavern leaching.

The objective of this training is to provide you with the skills to effectively use the tools available in Aspen SeisEarth and Aspen SKUA for interpreting and modeling salt surfaces. You will be introduced to various methods for creating 3D structural models with salt and modeling properties. By following one of these methods, you will create a facies model within the salt intrusion.

Unlock the full potential of reservoir management with this comprehensive training designed for professionals seeking to enhance their skills in cutting-edge subsurface workflows. Dive into advanced methodologies, from predictive modeling of reservoir performance using uncalibrated simulator decks to powerful proxy-based and ensemble smoother history-matching techniques.

Gain hands-on expertise in diagnostic tools, including quality tables, modifier distributions, pairs plots, and MCMC chain analysis, to identify and mitigate uncertainties. Explore future prediction workflows to assess reservoir behavior under multiple development scenarios and discover optimization strategies that maximize net present value (NPV) through refined reservoir model adjustments.

This course provides systematic training in basic Aspen Demand Manager (DM) for demand planners. Detailed emphasis is placed on introducing and reviewing features and functions in Aspen Demand Manager including Data Management, Forecast Preparation and Generation, Plan Generation & Analysis, and Publishing.