• 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

• 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

• 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

• 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

• 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

• Tailor Aspen InfoPlus.21database records to fit your process perfectly
• Build active processing elements into your own customized data structures
• Evaluate Aspen InfoPlus.21 for use with an application
• Write your own processes to use with Aspen InfoPlus.21
• Design or maintain an Aspen InfoPlus.21 application
• Create a custom client application using the latest Visual language techniques including VB.NET and ASP.NET to bring Aspen InfoPlus.21 data to the desktop

• 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.

Expert training combining deep domain knowledge on refining and critical equipment prescriptive analytics

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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.

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 users to manage the lifecycle of alerts in a Mtell real-time monitoring solution. Aspen Mtell Alert Manager is a web application that helps users to manage alerts, monitor assets, and also create an enterprise dashboard to view Asset performance.

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.

·         Gain an understanding of the essential principles of multivariate analysis whilst understanding the primary navigation and handling of data of Aspen Unscrambler.

·         This course teaches the Principle Component Analysis, Regression, and essential sampling and validation techniques to evaluate your data.

·         Introduction to Multivariate Analysis (MVA)

·         Principal Component Analysis (PCA)

·         Outlier detection

·         Multivariate regression

·         Prediction using multivariate models

·         Model validation

• An introductory course to using various multivariate analysis techniques through Aspen Unscrambler. You will begin with handling data using the software, plotting, and descriptive statistic techniques to represent data. Furthermore, gain knowledge about principal component analysis(PCA), sampling, regression and validation methods, and workshops to help you understand the capabilities of Aspen Unscrambler.
• Learn how to extract the most information from your spectral data with the Unscrambler application

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

• 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

• 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

• Web Parts
• Operation Dashboards
• Aspen IP.21 Process Browser graphics, plots and lists
• Acquire basic techniques needed for implementing Aspen Role Based VisualizationTM (RBV) modules
• Learn how to construct a navigational structure using an S95 hierarchy with Aspen Master Data Manager (mMDM)
• Gain operational overview of SharePoint Services

• 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

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.

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

• 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

• 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

• 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

► Develop an overall understanding of the Aspen Exchanger Design & Rating (EDR) product suite and how it can interact with process simulation tools such as Aspen Plus and Aspen HYSYS

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

Upon completion the engineer should understand how:

►Define overpressure scenarios in Aspen HYSYS and Aspen Plus using industry-standard methods

►Design single or multiple relief valve arrangements for applicable relief scenarios

►Integrate relief device piping considerations into the study of overpressure scenarios

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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 

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

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 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

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.

• 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

• 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

• 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

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 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.

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.