This course provides systematic training in Aspen Unified Reconciliation and Accounting (AURA) for performing typical daily tasks of Yield Accountants and analyzing plant performance. Detailed emphasis is placed on introducing and reviewing advanced features and functions in AURA, including model navigation, retrieve data from data historians, importing objects data/events from Excel, reconcile, basic & advanced Visualize to analyze results (tooltips, data inspector, Data Panel, Trends, Envelopes, Sankey, Reports, Work Area) and basic model maintenance.
This is the FlexClass version of our popular APC105: Model and Build Aspen DMC3 controllers using Aspen DMC3 for APC Engineers course. This version is delivered through a combination of rigorous workshop modules and recorded lectures that you can complete over 4 weeks with live, expert-led sessions, and hand-on workshops. Students usually spend 8 to 12 hours per week to complete this online course.
In this course you will acquire the skills and knowledge required to participate on or lead a team charged with the development, deployment, and maintenance of Advanced Process Control applications. You will learn how to use an Aspen DMC3 Model to identify a controller model before implementing the controller online and gain increased effectiveness in basic troubleshooting of Aspen DMC3 controllers.
This course is a combination of APC120: Introduction to aspenONE Advanced Process Control - Operating and Maintaining Controllers Online, and APC125: Introduction to Aspen Process Controller Builder - Modeling and Building Controllers for Industrial Processes.
AspenTech is excited to offer a brand-new training course to introduce Advanced Process Control (APC) engineers to the key aspects of the underlying regulatory control system (DCS) as it relates to an AspenTech DMC3 controller. Such understanding is key to several aspects of an APC project: designing a DMC3 controller structure, conducting an effective DMC3 preliminary test (pre-test), commissioning the DMC3 controller, troubleshooting performance issues and improving DMC3 controller performance.
Students will be introduced to the Distributed Control System (DCS) concepts that relate to the DMC3 controller. They will also learn the basics of Proportional-Integral-Derivative (PID) regulatory controls and AspenWatch, AspenTech’s PID control monitoring and loop analysis solution.
Instructor
George Ikonomou, PhD, serves as APC Senior Principal Technical Consultant for Aspen Technology. Dr. Ikonomou has over 33 years of industrial research, consulting, and manufacturing experience in the chemicals, refining and pulp and paper industries.
Dr. Ikonomou is a graduate of University of Santa Clara with a BS degree in Chemistry, Oregon State University with an MS degree in Chemical Engineering and The Johns Hopkins University with a PhD degree in Chemical Engineering.
Learn how to develop, deploy, and maintain general Advanced Process Control (APC) applications, which is the foundation to utilize APC to achieve resource efficiency and reduce CO2 emissions and waste. Learn how to use DMC3 Builder to identify a controller model, configure controller tuning, implement the controller online and maintain it on the Production Control Web Server. Learn how to model an FCCU DMC3 Controller with CO2 in the control scope to constrain and control CO2 emissions.
This course will help you prepare for the certification exam and the exam fee is waived with this course.
Billions of dollars are lost each year to equipment failure, unplanned downtime, and production disruption. The challenge is to maintain optimal reliability and mitigate risks while achieving target production levels. Understanding the costs and benefits of making such changes drives the decision-making process.Would you be interested in knowing about a software tool that can help you predict the reliability, availability and maintainability of your units and help you maximize overall production or determine economic impact of a potential failure? In this course, you will learn how you can use Aspen Fidelis Reliability to generate accurate predictions of future performance and monitor key indicators such as availability, utilization, system shutdowns, logistics, and resource usage.
Learn from Domain Experts!
Expert training combining deep domain knowledge on system reliability with hands-on experience on Aspen Fidelis
AspenTech is excited to offer a brand-new training that combines Process Reliability and Maintenance domain practice with application of AspenTech solutions. Jointly delivered by domain and Aspen Fidelis experts from AspenTech, students will get acquainted with general Reliability and Maintenance practices and understand how those are incorporated in Aspen Fidelis.
Instructor - Michael Strobel
Mike has over 35 years’ experience in equipment reliability, asset simulation, project management, technical services and reliability/maintenance management. Has held responsible positions in the energy and process industries and managed major oil and gas field production, pipeline and chemical processing projects internationally. Simulation modeling experience includes petrochemical, LNG, mining, oil & gas production, storage & supply chain projects, refinery, chemical processing, cogen / gasification / power generation and technical services support.
Mr. Strobel is a graduate of University of Texas at Austin with a B.S. Petroleum Engineering.
Expert training combining deep domain knowledge on system reliability with demonstration on Aspen Fidelis
AspenTech is excited to offer a half day training that combines Process Reliability and Maintenance domain practice with application of AspenTech solutions. Jointly delivered by domain and Aspen Fidelis experts from AspenTech, students will get acquainted with general Reliability and Maintenance practices and understand how those are incorporated in Aspen Fidelis.
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.
In this training, you will learn how to implement the Aspen Mtell project. You will understand System Architecture and the Installation procedure, learn how to conduct technical reviews for defining assets and sensor groups, set up security and connect to adapters, import data, build Machine Learning Agent, setting up alerting, and use Aspen Mtell Alert Manager to monitor alerts. You will practice automatic agent tuning for the best accuracy and earliest detection of excursions from normal behavior, and the precise patterns that match degrading conditions that lead to failure.
This course includes the content from MPM111, MPM121, and MPM131 to give the total Mtell Solution experience.
This course prepares students to install, deploy and manage a Mtell solution. In this training, learn to install and configure Aspen Mtell, SQL Database, and the necessary EAM and Historian Connections. You will use Mtell System Manager to connect to various data sources, configure the services required to run Machine Learning Agents, and setup security and notifications for Agent alerts.
This course will prepare you to build Agents for use in a Mtell real-time monitoring solution. You will learn the Aspen Mtell implementation methodology to create Machine Learning Agents for a single asset, practice agent tuning to create the most accurate agent with the earliest detection of failures. You will use Aspen Mtell Failure Agents to analyze past failure data and the precise patterns that match degrading conditions that lead to failure. Additionally, you will learn to deploy machine learning agents to fully specify your input data to create agents ready for continuous 24/7 protection of critical plan assets.
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.
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.
In this training, learn how to analyze problems that involve many variables at once using multivariate analysis tools through Aspen Unscrambler. Understand how to perform exploratory analysis using Principal Component Analysis (PCA) to reduce the dimensionality of complex datasets. Data processing/transformations are then applied to remove extraneous sources of noise or signals not relevant to the objective. This includes data standardization, derivatives, scatter corrections, among other methods. With properly treated data, Partial Least Squares Regression (PLSR) is used to relate predictor variables with response variables to build a model, which then used for prediction of new samples.
This course will help you prepare for the certification exam and the exam fee is waived with this course.Manufacturers are collecting more data than ever but face the challenge of deriving useful information from these large data sets. Part of the challenge is understanding the relationships amongst all the available variables (raw materials, process conditions etc.) and how these relationships impact process performance (yield, final quality etc.). Aspen ProMV finds the independent driving forces affecting process performance and effectively extracts actionable insights from available historical data. Learn how to use this desktop software on your historical process data to improve understanding of key process relationships.
This course will help you prepare for the certification exam and the exam fee is waived with this course.This course will teach you how to get actionable insights from your industrial batch data and to use that information for process optimization and troubleshooting. You will learn how to relate time-varying process data, raw material properties and initial conditions to final product quality and productivity. Using this model you can then troubleshoot and optimize your batch processes.Note: If you are interested in this training class you need to attend Optimize 2019 and select All Access PassTo register please go to: https://www.optimize2019.com/events/optimize-2019/registration-bea4532088f6457b866d27d8a345765f.aspx?fqp=true
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.
At the end of the course, you will be able to:
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 course will help you prepare for the certification exam and the exam fee is waived with this course.
Obtain an overview of the Aspen InfoPlus.21 system - Database, Historian, Data Transfer and System Administration. Get real-world Aspen InfoPlus.21 experience through hands-on labs and exercises. 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
· 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
Gain an understanding of Spectra eMap.
Gain an understanding of Spectra DPF.
Gain an understanding of Spectra FR.
Gain an understanding of Spectra VVC.
Gain an understanding of Spectra FLISR.
Gain an understanding of Integra DERMS.
Gain an understanding of Electra OMS™.
Gain an understanding of Spectra OTS™.
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.
Gain an understanding of OSI’s Automatic Generation Control (OpenAGC) function, and its configuration, administration, and operation.
Gain an understanding of OSI’s Transaction Management System (OpenTMS™), OpenComposite™, OpenIA™ functions, and their configuration, administration and operation.
Gain an understanding of OSI’s Market Operation System (OpenMOS™), Energy Control Algorithm (OpenECA™) and Automatic Generation Control (OpenAGC) function, configuration, administration and operation for the MISO market.
Gain an understanding of OSI’s Market Operation System (OpenMOS) Energy Market Control Algorithm (OpenECA) and Automatic Generation Control (OpenAGC) function, configuration, administration and operation for the ERCOT market.
Gain an understanding of OSI’s Market Operation System (OpenMOS), Energy Market Control Algorithm (OpenECA) and Automatic Generation Control (OpenAGC) function, configuration, administration and operation for the SPP Marketplace.
Gain an understanding of OSI’s Market Operation System (MOSPJM), Energy Market Control Algorithm (OpenECA), and Automatic Generation Control (OpenAGC) functions, configuration, administration and operation for the PJM market.
Gain an understanding of OSI’s Market Operation System (OpenMOS), Energy Control Algorithm (OpenECA) and Automatic Generation Control (OpenAGC) function, configuration, administration and operation for the CAISO market.
Gain an understanding of OSI’s Forecast™ product and its configuration, administration, and operation.
Gain an understanding of OSI’s Unit Commitment (OpenUC™) function, its configuration, administration and operation.
Gain an understanding of OSI’s Economic Dispatch function (in OpenAGC) and its configuration, data modeling,
administration, and operation.
Understand general hardware, software and database architecture.
Understand various SCADA functions.
Gain an overall appreciation of the system, interfaces and architecture.
Understand the processes that compromise the monarch system.
Understand the initial configuration process for a monarch server.
Understand the difference options for performing database maintenance and the process and cons of each method.
Understand general Voyager capabilities.
Understand Voyager navigation.
Understand the Voyager display editing tool.
Learn to perform basic system maintenance for Web Platform.
Understand how to monitor your system with System Monitor.
Understand how to manage users, consoles, permissions and settings.
Understand the OSI monarch system and SCADA applications. This course prepares students to begin using the basic operations of an OSI system.
Gain a deeper understanding of how to perform maintenance on your system.
Gain an understanding of Enterprise ITK and the different steps that can be performed.
Gain an advanced understanding of monarch system development tools. Students wanting to develop their own applications should attend this course.
Gain a deeper understanding of basic security procedures within monarch to ensure proper security measures are being utilized and security alerts are being monitored
Understand general display architecture, display structures and the display editing tool.
Become proficient in display building.
Understand the general tabular display building process.
Understand display customization and sorting options.
Become proficient in building tabular displays.
Learn how to build tabular and trend displays that access data stored in CHRONUS.
Understand general SCADA architecture.
Learn how the SCADA and related databases are organized.
Learn how the operator interacts with the SCADA system.
Learn the SCADA data model and SCADA database layout and structure in detail.
Understand general FEP architecture.
Learn how the FEP database is organized.
Review operational capability, user interface, database requirements, maintenance and tuning and error statistics.
Understand general ICCP architecture.
Learn how the ICCP database is organized.
Review operational capability, user interface, database requirements, maintenance and tuning, and error statistics.
Learn the process for using OpenHIS to archive data.
Gain an understanding of the processes and RDBMS tables used by OpenHIS.
Learn how to build reports in Microsoft Excel and Advanced Tabulars to display OpenHIS data.
Gain an understanding of the process for using CHRONUS to archive data.
Learn how to perform basic system administration.
Understand how to monitor your system and perform failovers using Site Manager™.
Understand how to manage users, consoles, permissions and settings using System Configuration Manager™ (SCM).
Understand database maintenance processes using the DataExplorer consolidated tools for editing and committing monarch database changes.
Understand the database maintenance process using the DataExplorer plugin for editing and the Maintenance Center application to commit changes.
Understand how to develop custom calculations in monarch.
Understand the structure of a database schema file.
Understand the process of creating a monarch database.
Learn the methods for accessing a database within a calculation.
Gain an understanding of OSI’s Load Shed and Restoration (OpenLSR™) product, and its configuration,
administration and operation.
Gain an understanding of OSI’s Switch Order Management (SOM Planner™) product and its configuration,
Learn some of the more advanced features available in Advanced Tabulars displays.
Gain an understanding of OSI’s Network Analysis (OpenNet™) function, and its configuration, administration, and operation.
Viewing, editing, and maintenance of power system network data in either a tree or graphical one-line view in CIM model editor (CIM Studio™).
Gain an understanding of OSI’s Voltage Stability Analysis (OpenVSA™) function, and its configuration,
Gain an understanding of OSI’s Transient Stability Analysis (OpenTSA™) function, and its configuration,
Gain an understanding of OSI’s Operator Training Simulator (OpenOTS™) function, and its configuration, administration, and operation.
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.
Upon successful completion of this course, you will be able to:
This is the FlexClass version of our popular EAP101 Aspen Plus Foundations class. This version is delivered through a combination of rigorous workshop modules and recorded lectures that you can complete over 3 weeks with live, expert-led sessions, and hands-on workshops. Students usually spend 8 to 12 hours per week to complete this online course.
Course Overview:
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.
Benefit:
Gain the practical skills and knowledge to begin modeling new and existing processes
Learn some practical techniques for building and troubleshooting flowsheet simulations
Learn examples and additional resources on applying Aspen Plus to solve sustainability challenges
Reduce process design time by testing various plant configurations
Determine optimal process conditions to improve current processes
Pre-Class Tutorial:
To prepare for this course we strongly recommend that you complete the eLearning module ‘User Interface: Discover Optimized Workflows in Aspen Plus’ prior to the class.
Starting with aspenONE V12, our self-paced eLearning content can be accessed directly from within Aspen Plus . For detailed instructions on how to do this, check out the article: How to access eLearning directly from the application.
Not using the latest version of aspenONE? Sign up for our free adoption program that is designed to help you deploy aspenONE V12.1 faster! You will receive exclusive guidance from AspenTech experts to help you discover how aspenONE V12.1 solutions can drive even higher levels of profitability and sustainability.
This is the FlexClass version of our popular EAP121 Aspen Simulation Workbook class. This version is delivered through a combination of rigorous workshop modules and recorded lectures that you can complete in one week with live, expert-led sessions, and hands-on workshops. Students usually spend 8 to 12 hours per week to complete this online course.
Learn how to embed and link an Aspen Plus Simulation case and variables within MS Excel without using any programming languages. User can hide complex interfaces & technical details and perform analysis in Excel. User can link models to online plant data for on-demand advisory.
This is the FlexClass version of our popular EAP150 Rigorous Design and Rating of Distillation Columns class. This version is delivered through a combination of rigorous workshop modules and recorded lectures that you can complete in one week with live, expert-led sessions, and hands-on workshops. Students usually spend 8 to 12 hours per week to complete this online course.
Distillation columns are both capital and energy intensive. The column hydraulic performance is important to ensure high separation efficiency and product quality. Rigorous modeling of columns with hydraulics can greatly improve energy utilization and reduce capital costs.
In this course, users will understand how to interactively design and rate distillation columns in Aspen Plus.
This is the FlexClass version of our popular EAP201 Aspen Plus: Physical Properties for Process Engineers class. This version is delivered through a combination of rigorous workshop modules and recorded lectures that you can complete over two weeks with live, expert-led sessions, and hands-on workshops. Students usually spend 8 to 12 hours per week to complete this online course.
Develop the skills and techniques required to specify and use thermodynamic property models in your steady-state and dynamic simulations by gaining a better understanding of the Aspen Plus physical properties system. Build property analysis plots, review various property parameters, and learn about different thermodynamic property models commonly used. Recognize key applications of different property methods via examples aimed at achieving sustainability goals.
Course Benefits
Build, improve and optimize steady state distillation models using Aspen Plus RadFrac block. Explore the rate-based modeling and the capabilities of RadFrac to model CO2 capture processes to meet sustainability goals when required. Utilize Aspen Properties analyses to synthesize the best separation synthesis to achieve the desired separation tasks. Practice using 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. Review troubleshooting tips and how to enhance convergence and evaluate model quality.
• Gain the skills and knowledge to model complex distillation processes
• Reduce process design time by using advanced features of RadFrac
• Determine separation schemes using conceptual design tools
• Perform Tray Sizing/Rating and Packed Sizing/Rating calculations
• Apply Aspen Rate-Based Distillation to accurately model column with real trays and packing
• Use column analysis tools to optimize the feed location and number of stages and improve energy utilization
• Improve distillation model stability and accuracy
• Get an overview of sustainability processes to capture CO2 in which distillation models take place
Take a deep dive into distillation modeling. Learn how to handle complex distillation such as azeotropic, 3-phase, and reactive distillation, how to set up pumparounds, side draws, multiple condensers and how to optimize the feed location and number of stages. Learn how to perform Sizing/Rating of trayed and packed towers. Troubleshoot convergence issues.
This is the FlexClass version of our popular EBE101 Develop FEED Packages using Aspen Basic Engineering class. This version is delivered through a combination of rigorous workshop modules and recorded lectures that you can complete over two weeks with live, expert-led sessions, and hands-on workshops. Students usually spend 8 to 12 hours per week to complete this online course.
Learn how to conduct engineering studies and projects using a central data repository with controlled and simultaneous data access. Eliminate clerical transcription and errors through instant update of changes in data to all users viewing the data. Gain an understanding of how the various modules of Aspen Basic Engineering are structured.
This is the FlexClass version of our popular EEE101 Aspen Capital Cost Estimator Foundations class. This version is delivered through a combination of rigorous workshop modules and recorded lectures that you can complete over 4 weeks with live, expert-led sessions, and hands-on workshops. Students usually spend 8 to 12 hours per week to complete this online course.
Course Overview
- Review definition and advantages of using First Principles Driven Hybrid Models
- Develop accurate hybrid models using both mechanistic and AI/ML fundamentals
- Build and deploy predictive hybrid models within process simulators to improve accuracy for several units such as distillation columns, reactors, heat exchangers, pressure changers, separators, etc.
- Use plant data to replace inadequately modeled relationships not fully captured by traditional engineering models.
Enhance the role of heat exchangers by applying advanced heat transfer and heat exchanger technologies, to size and rate Shell & Tube exchangers for developing sustainable energy systems. In this training class, you will rigorously model heat exchangers and monitor fouling trends to minimize environmental impact of industrial processes, by reducing energy consumption or recovering energy.
A common engineering task is the design of a new heat exchanger, or evaluation of an existing exchanger to verify it will perform properly in a new service. A successful design requires engineers to accurately predict exchanger thermal performance, pressure drop, and risk of vibration in the field. It is therefore advisable to rigorously model exchangers with detailed calculations to provide more confidence in the results than would be obtained utilizing simplified ‘short-cut’ calculations. Aspen Exchanger Design and Rating has the capability to perform sophisticated exchanger calculations, which account for equipment geometry, materials, and operating conditions. This technology can help reduce capital costs by enabling engineers to optimally-design exchangers.
This is the FlexClass version of our popular EHX101 Design and Rate Shell and Tube Heat Exchangers class. This version is delivered through a combination of rigorous workshop modules and recorded lectures that you can complete over 3 weeks with live, expert-led sessions, and hands-on workshops. Students usually spend 8 to 12 hours per week to complete this online course.
Optimize process operating conditions, reduce capital costs with accurate thermophysical data for equipment sizing and drive process sustainability by managing utility costs and emissions to maximize value from plant assets. This training class will focus on rapidly creating process models using intuitive workflows and highlight key features of Aspen HYSYS which can help you design and analyze processes and report key performance indicators by performing sophisticated calculations to meet sustainability goals.
The design and operation of a process facility typically necessitates that various engineering analyses be performed. Engineers must be able to predict process operating conditions, as well as execute optimization studies to meet their project goals. Aspen HYSYS has the capability to model complex process facilities, and assist engineers in finding the operating conditions that will maximize the value of plant assets (without exceeding plant design limits, e.g. available utilities). This technology can reduce capital costs by providing accurate thermophysical data for equipment sizing, and by enabling the user to perform sophisticated calculations that would be impractical with less-capable technologiesPre-Class Tutorial:To prepare for this course we strongly recommend that you complete the eLearning module ‘Aspen HYSYS: Learn the Basics’ (ATEL-323-EN) prior to the class.Starting with aspenONE V12, our self-paced eLearning content can be accessed directly from within Aspen HYSYS. For detailed instructions on how to do this, check out the article: How to access eLearning directly from the application.Not using the latest version of aspenONE? Sign up for our free adoption program that is designed to help you deploy aspenONE V12.1 faster! You will receive exclusive guidance from AspenTech experts to help you discover how aspenONE V12.1 solutions can drive even higher levels of profitability and sustainability.
The design and operation of a process facility typically necessitates that various engineering analyses be performed. Engineers must be able to predict process operating conditions, as well as execute optimization studies to meet their project goals. Aspen HYSYS has the capability to model complex process facilities, and assist engineers in finding the operating conditions that will maximize the value of plant assets (without exceeding plant design limits, e.g. available utilities). This technology can reduce capital costs by providing accurate thermophysical data for equipment sizing, and by enabling the user to perform sophisticated calculations that would be impractical with less-capable technologies.This course will help you prepare for the certification exam and the exam fee is waived with this course.
Use the capabilities of Aspen HYSYS Upstream to enable shared workflow for Liquefied Natural Gas plant modeling. Build a composition based flowsheet. Utilize several analysis tools for improving overall performance. Implement different unit used to customize flowsheet
Learn how to use and apply advanced modeling techniques to enhance new and existing Aspen HYSYS flowsheets. To achieve your sustainability goals, you will also find resources in energy savings with Activated Energy Analysis, CO2 emissions report, Hydrogen production, Green H2/Ammonia production, and CO2 capture using Amine.
Learn how to use and apply advanced modeling techniques to enhance your simulation. Create models that emulate plant conditions. Create custom column templates, including non-standard configurations. Optimize process conditions to meet one or more process constraints. Perform complex calculations on flowsheet variables using the HYSYS Spreadsheet. Integrate rigorous heat exchanger models into a standard flowsheet. Use the Depressuring Analysis to predict pressures and temperatures inside process vessels during pressure let-downs and emergency conditions.
This is the FlexClass version of our popular EHY223 Aspen HYSYS Dynamics: Introduction to Dynamic Models class. This version is delivered through a combination of rigorous workshop modules and recorded lectures that you can complete over 3 weeks with live, expert-led sessions, and hands-on workshops. Students usually spend 8 to 12 hours per week to complete this online course.
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.
Build, navigate and optimize a steady state simulation of an Air Separation Unit (ASU) using Aspen HYSYS. Utilize a wide variety of unit operation models and calculation tools to model process equipment. Use templates and sub-flowsheets to streamline and organize the different sections of the plant.
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.
Learn how to design, rate or simulate a shell and tube exchanger in Aspen Exchanger Design and Rating, which is a powerful solution for users to accurately predict exchanger thermal performance, pressure drop, and risk of vibration in the field. Learn how to rigorously size and rate shell and tube heat exchangers which can help optimize heat exchanger designs to achieve sustainability goals. The class ends with building a model to monitor fouling trends to minimize environmental impact of industrial processes, by reducing energy consumption and recovering energy.
In refineries, heat exchangers are among the highest energy consumers. Learn how to accurately design fired heaters, shell and tube, and air-cooled heat exchangers to minimize energy consumption.
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 how to build a carbon capture process model and apply optimization techniques to minimize emissions and energy usage.
Learn how to apply advanced modeling features in Aspen HYSYS such as the Activated Energy Analysis integration and rigorous LNG heat exchanger design to maximize energy efficiency. Learn advanced equipment design techniques to maximize process performance and optimize CAPEX.
Effectively design a flare system for disposal while meeting both safety standards in flare operation and sustainability targets in emission monitoring
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 create process simulations to predict Green House Gas (GHG) emissions and minimize energy usage.
End-to-end Carbon Capture processes and hydrogen production processes both involve complex chemical interactions. Learn how to model these chemical interactions through various estimation techniques to achieve more accurate results.
Accurate electrolyte chemistry is crucial to model Carbon Capture processes with amine solvent and hydrogen production processes. Learn how to address common challenges when modeling electrolyte chemistry for carbon capture and hydrogen production.
Learn how to create carbon capture models with chemical and physical solvents. Learn the skills to set up accurate physical properties method, model key electrolyte components, incorporate intricate kinetics data, and configure rigorous rate-based Radfrac columns.
This is the FlexClass version of our popular SUS-P203: Carbon Capture Process Modeling class. This version is delivered through a combination of rigorous workshop modules and recorded lectures that you can complete over three weeks with live, expert-led sessions, and hands-on workshops. Students usually spend 8 to 12 hours per week to complete this online course.
Direct Air Capture technology is among the most prominent approaches to capture CO2. Users will learn how to build and simulate a Direct Air Capture process with aqueous potassium hydroxide solution. Users will then integrate this model into a steady state process simulation and set up physical properties along with key unit operations to model the complete process.
Learn how to recapture CO2 using a scrubber. Set up a model using a higher fidelity, more realistic modeling approach than conventional models to make better predictions for Sustainability calculations.
Learn how to model an electrolysis unit that converts water into hydrogen using potassium hydroxide solution.
Learn how to develop solar cell models to power an electrolysis process used in green hydrogen production.
Learn how to develop advanced polymerization process involved in materials recycling to achieve your sustainability goals.
Accurately model sustainable bio-based feedstock processes using solids modeling techniques.
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.
Learn how to setup plant utilities, such as steam, hot oil, and cooling water to optimize costs and minimize environmental impact of industrial processes, by reducing energy consumption.
This course provides systematic training in Aspen Unified Scheduling (AUS) for refinery schedulers. Detailed emphasis is placed on introducing and reviewing advanced features and functions in Aspen Unified Scheduling, including Site Catalog, Work Area, Event and Case Management, Flowsheet Creation, Schedule Reconciliation and Optimization, Multi-user Workflow, etc.
This course will help you prepare for the certification exam and the exam fee is waived with this course.To provide an intensive problem-solving workshop designed for the experienced Aspen PIMS user. Detailed emphasis is placed on reviewing Aspen PIMS modeling techniques and troubleshooting errors and warnings in models.
Learn how to build a refinery planning model that covers two main sources of CO2: the FCC unit and the Fuel Gas system. With ongoing focus of refiners to include sustainability objectives into their planning and scheduling models, this can be used as a basis to model CO2 emissions in refinery planning.
This course is designed for new planners and modelers who have 1 year or less experience in Aspen PIMS / Aspen PIMS-AO and need experience in building and optimizing refinery planning models to generate optimum plans.
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
• Carbonate 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 using Aspen RMS.
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.
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.
Understanding past geological states through kinematic restoration is essential for validating structural interpretations and for providing valuable insights on the field’s geological history. It also yields interesting results for various geological modeling applications applied to paleo-environments such as fracture modeling, pore pressure prediction, fault seal analysis, basin modeling, etc.
The goal of this training is to give you the basic skills to execute a complete restoration study inside Aspen SKUA using the KINE3D module, and to teach how to best analyze the restoration results.
Using different datasets, you will progress through a series of comprehensive exercises and case studies with increasing complexity designed to teach you how to use the kinematic restoration module in different geological settings.
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 SCM: Plant Scheduler (PS) skills for schedulers. Detailed emphasis is placed on introducing and reviewing features and functions in Aspen Plant Scheduler such as Data Management, Understanding the Planning Board, Schedule Generation, Schedule & Scenario Analysis, and Publishing.
This course provides systematic training in basic Aspen SCM: Supply Chain Planner (SCP) skills for planners. Detailed emphasis is placed on introducing and reviewing features and functions in Aspen Supply Chain Planner such as Data Management, Plan Generation and Analysis, What-If Analysis, and Publishing.
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.
This course provides introductory training on the general modeling concepts and logic used in the Aspen SCM suite. The idea of the course is to understand the basic architecture of an SCM model and the main coding tools which are used to configure it. Additionally, training is given on how data are handled within the model, as well as in the basics of navigation and action menu configuration.