Browse Course Descriptions

• Understand Aspen APC suite infrastructure and how different Aspen APC applications interact with each other
• Model Aspen DMC3 model controller and understand its characteristics and tuning parameters
• Deploy an Aspen Advanced Process Control (APC) Application online to control the plant
• Use Steady state & dynamic tuning parameters like MV/CV cost, CV rank, concerns and suppression to seek most profitable target and operating point.
• Implement variable transforms and custom calculation in Aspen DMC3 builder

At the end of this course you will learn how to:

• Convert Aspen DMC controller to DMC3 and configure Aspen DMC3 features
• Monitor the performance and benefits of converted Aspen DMC3 controller under the guidance of our experts
• Deploy and maintain Aspen DMC3 controllers

Mentor others and propagate Aspen DMC3 competence throughout the company

• Understand Aspen GDOT infrastructure
• Gain knowledge of typical Aspen GDOT applications in petroleum refining and bulk chemicals
• Learn how to configure Aspen GDOT applications using standard templates and connect to OPC server (online)
• Best practices for implementing Aspen GDOT applications as well as sustaining benefits 

Dynamic Optimization is a new area of economic opportunity in Production Optimization.  GDOT improves overall site operating margins by closing the loop between planning/economics objectives and actual operations of units through real time coordination of several APC applications across a broad envelope

In this class, learn how to define applications and estimate benefits, align with planning and scheduling work processes, online monitoring capabilities, and best practices for sustaining benefits.  Class includes hands-on exercises on deploying GDOT templates.

Note: If you are interested in this training class you need to attend Optimize 2019 and select All Access Pass
To register please go to: https://www.optimize2019.com/events/optimize-2019/registration-bea4532088f6457b866d27d8a345765f.aspx?fqp=true

This is the “Online” version of our popular AEI101 Aspen Enterprise Insights Foundations class. This Online version is delivered through a combination of self-paced eLearning that you can complete within 2 weeks with live, online expert-led sessions, hands-on workshops and interactive online discussion boards.  Students usually spend 8 to 12 hours per week to complete this online course.

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

• Learn use cases to implement Aspen Enterprise Insights
• User will be able to create Communities, Pages, Workflows and Pipelines.
• Use different data upload methods to import data into Aspen Enterprise Insights
• Trigger alerts based on the KPI’s
• Create and deploy packaged solutions

Process industries around the world are losing billions of dollars due to unplanned downtime and off-spec production.
Distillation column failures are one of the most common causes for these issues.
In this course, students will learn to predict and prevent column failures like flooding to avoid situations like process
unit shutdown.

Despite spending millions on preventive maintenance and risk-based inspection techniques, unplanned process disruptions and asset downtime continue to plague every company’s process optimization efforts.

Industry studies have shown that up to 82% of all failures cannot be avoid using these techniques since they are considered “random”, meaning they don’t follow a traditional time-based wear or usage failure pattern.  The result is that these “random” failures are costing the global process industry $20 Billion annually.

What makes solving this unplanned disruptions and downtime problem so challenging is the dynamic nature of production process.  With thousands of variations occurring simultaneously within the process it is nearly impossible to predict exactly what patterns or trends will lead to unplanned events, impacting asset performance.

Combining deep process design expertise with real-time big data and machine learning Aspen APM continually monitors and optimizes asset performance at the equipment, process and plant levels. 
It uses a suite of integrated risk, process and performance analytics solutions to predict when and why future disruptions and downtimes will occur and to prescribe responses to proactively avoid issue from occurring.

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.

This is the “Online” version of our popular APR101 Aspen Mtell Foundations class. This Online version is delivered through a combination of self-paced eLearning that you can complete over 3 weeks with live, online expert-led sessions, hands-on workshops and interactive online discussion boards.  Students usually spend 8 to 12 hours per week to complete this online course. 

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

• Create live Machine Learning Agents to monitor anomalies and catastrophic failure of their equipment for preventive maintenance and condition monitoring. 
• Understand and explain the use for Aspen Mtell 
• Configure and Import Plant historians and EAM information into Aspen Mtell 
• Set up alert notification strategies and custom monitoring displays 
• Perform conditioning and analysis of time-series sensor data 
• Build and deploy advanced condition monitoring Autonomous Agents 

This course will help you prepare for the certification exam and the exam fee is waived with this course.
The Aspen Mtell application is a condition monitoring solution that uses automated Machine Learning to stop machines breaking down, makes them last longer, reduces maintenance costs, and increases the net product output of any process.

In this training, learn the Aspen Mtell easy implementation methodology so you can automatically create many Machine Learning Agents for a single asset with one-click. 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 will focus on using Mtell Agent Builder to create Machine Learning models (ML “Agents”) to capture early warning signatures from the time series sensor data and then easily deploy these Agents in a production manner to provide prescriptive guidance for preventing unplanned downtime. You will learn how to leverage your existing investments in Enterprise Asset Management (EAM) and Historian (e.g. Aspen InfoPlus.21) software by combining and analyzing data from these systems to derive additional value and generate improved business outcomes.

This is the “Online” version of our popular PMV101 Aspen ProMV Foundations class. This Online version is delivered through a combination of self-paced eLearning that you can complete over 2 weeks with live, online expert-led sessions, hands-on workshops and interactive online discussion boards.  Students usually spend 8 to 12 hours per week to complete this online course.

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

• Gain the practical skills and knowledge to use multi-block modelling to model your process
• Improve understanding of key process relationships
• Identify key contributors to poor process performance
• Troubleshoot and correct recurring process problems
• Optimize process performance

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 Pass
To register please go to: https://www.optimize2019.com/events/optimize-2019/registration-bea4532088f6457b866d27d8a345765f.aspx?fqp=true

• Obtain an overview of the Aspen InfoPlus.21 system - Database, Historian, Data Transfer and System Administration
• Obtain an overview of AspenOne Process Explorer
• 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

• Use the Search tool to locate your plant data using aspenONE Process Explorer
• View your plant data through graphics and trend plots
• Configure tags to show alarm states and receive email alerts when alarms are triggered
• Investigate alarms using Event Plots

• Build and analyze steady state simulation models 
• Simulate, optimize and troubleshoot unit operation and process models
• Design, revamp and debottleneck process equipment
• Troubleshoot common convergence problems and use best practices 

• Build and analyze steady state simulation models 
• Simulate, optimize and troubleshoot unit operation and process models
• Design, revamp and debottleneck process equipment
• Troubleshoot common convergence problems and use best practices 

• Gain the practical skills and knowledge to begin modeling new and existing processes
• Learn some practical techniques for building and troubleshooting flowsheet simulations
• Visualize column hydraulics to remotely predict operational issues like column weeping or flooding
• Determine optimal process conditions to improve current processes

Reduce capital and energy costs while ensuring consistent particle size distribution by using rigorous solids-handling equipment models integrated with fluid simulation. In this course we will explain the fundamentals of batch process modeling including simulation of batch reactors, crystallization equipment and distillation.

Note: If you are interested in this training class you need to attend Optimize 2019 and select All Access Pass
To register please go to: https://www.optimize2019.com/events/optimize-2019/registration-bea4532088f6457b866d27d8a345765f.aspx?fqp=true

Reduce capital and energy costs while ensuring consistent equipment design and optimize network considering energy savings and capital cost trade off. This course will highlight examples of how Concurrent Conceptual Engineering can help achieve better design while reducing capital and operating costs. 

Note: If you are interested in this training class you need to attend Optimize 2019 and select All Access Pass
To register please go to: https://www.optimize2019.com/events/optimize-2019/registration-bea4532088f6457b866d27d8a345765f.aspx?fqp=true

• 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.

• In-depth understanding of Aspen OnLine project execution. 
• Understand the use of different type of tags and tag section for large plant models.
• Utilize advance feature for models scheduling.
• Learn the know-how of project diagnostic and run time analysis.
• Learn alternative run-modes of Aspen OnLine.
• Do advance troubleshooting.

Drive down costs through project design reuse improving project agility.  In this course will explain how to integrate FEED management with design, safety and costing, summarize how to have Automated Change Management and create Optimal Diagrams and Datasheets.

Note: If you are interested in this training class you need to attend Optimize 2019 and select All Access Pass
To register please go to: https://www.optimize2019.com/events/optimize-2019/registration-bea4532088f6457b866d27d8a345765f.aspx?fqp=true 
 

• Evaluate your company's projects and maximize return on investment
• Build, interpret, and revise estimates in a fraction of the time required by traditional methods
• Maximize your ability to produce consistent and reliable estimates 
• Reduce the risk involved in making key decisions for capital projects 

A systematic model-based estimating process that produces consistent and fast estimates. In this course you will identify and develop best practices for the engineering and procurement strategy with the goal of optimizing the project cost while keeping the project on schedule.

Note: If you are interested in this training class you need to attend Optimize 2019 and select All Access Pass
To register please go to: https://www.optimize2019.com/events/optimize-2019/registration-bea4532088f6457b866d27d8a345765f.aspx?fqp=true 

Realize Aspen Capital Cost Estimator (ACCE) benefits by taking training and working with an AspenTech expert who will guide you through the best-practice workflows to:

• Build, interpret, and revise estimates
• Maximize your ability to produce consistent, reliable estimates and reduce the risk involved in making decisions
• Develop custom template files with localization data that meet your needs for common projects

• Design shell & tube heat exchangers
• Rate and simulate existing heat exchangers
• Understand the Aspen Exchanger Design & Rating (EDR) product suite and use it with process simulators 
• Generate TEMA reports for presenting data to vendors
• Toubleshoot common vibrations problems in a heat exchanger

• Learn the general design considerations of Air Cooled Exchangers. 
• Examine process side, air side, geometry selection and physical properties, and investigate thermal design principles, cross-flow exchangers and extended surfaces. 
• Explore process-side events and responses, including single and two-phase heat transfer, condensing and fouling.

• Identify and explain the basic concepts of heat transfer in association with coil wound heat exchangers
• Recognize how thermal and hydraulic calculations are used by the Aspen Coil Wound Exchanger application
• Recognize the features and functional capability of the Aspen Coil Wound Exchanger application
• Efficiently use the Aspen Coil Wound Exchanger application to evaluate multi-stream heat exchangers in various tube / shell configurations.
• Demonstration using Activated EDR integrated heat exchanger software in conjunction with Aspen HYSYS to improve the performance of heat exchangers in the overall process

• Learn how to implement Aspen EDR software in Aspen HYSYS simulation.
• Make use of the Activated EDR feature as an improved method for linking Aspen HYSYS and Aspen Shell & Tube Exchanger or Air-Cooled Exchanger.

• Build and optimize steady state simulation models
• Define and manage crude oil assay information and properties
• Generate rigorous heat exchanger models from Aspen HYSYS to produce the most optimal designs at the right economics
• Model pipeline networks and mitigate the risk for flow assurance issues
• Design, revamp and debottleneck process equipment
• Troubleshoot common convergence problems and use best practices

Drive refinery profit through the optimization of specific applications using rigorous models of distillation columns, heat exchangers and reactor models can assist in troubleshooting and performing engineering studies. In this course we will explain how to navigate and optimize process simulations using Aspen HYSYS and Aspen HYSYS Petroleum Refining.

Note: If you are interested in this training class you need to attend Optimize 2019 and select All Access Pass
To register please go to: https://www.optimize2019.com/events/optimize-2019/registration-bea4532088f6457b866d27d8a345765f.aspx?fqp=true 

The course will demonstrate how to use some of the latest features in Aspen HYSYS and Aspen HYSYS Upstream to optimize the flow from the wellhead all the way through to a gas processing facility including subsea equipment modeling such as wet gas compression.

Note: If you are interested in this training class you need to attend Optimize 2019 and select All Access Pass
To register please go to: https://www.optimize2019.com/events/optimize-2019/registration-bea4532088f6457b866d27d8a345765f.aspx?fqp=true 

• Gain the practical skills and knowledge to begin modeling new and existing processes
• Learn some practical techniques for building and troubleshooting flowsheet simulations
• Visualize column hydraulics to remotely predict operational issues like column weeping or flooding
• Determine optimal process conditions to improve current processes

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 to build, evaluate and optimize Refinery Models including complicated refinery reactors using Aspen HYSYSTM Petroleum Refining
• Learn to track petroleum properties, perform case studies and evaluate profit for steady-state simulations of refining processes

• Learn how to convert steady-state models into dynamic models to solve process design, plant operation and control problems using Aspen HYSYS Dynamics.
• Analyze and determine the best control strategy to keep the plant operation at its best using different controller models and strip charts (plots).
• Rigorously model valve characteristics and define actuator parameters to closely mimic a realistic flow behavior.
• Dynamically model compressors using performance curves and account for anti-surge controllers to overcome the problems that arise when low flow to the compressor is likely to occur due to process disturbances.
• Model distillation columns in dynamic mode and vent off excess vapor through pressure safety valves to protect the columns against overpressure scenarios.
• Learn to automate dynamic models by defining actions to be executed either when a condition is met or when a specific simulation time is reached during the dynamic run in the Event Scheduler.

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.

该课程为 Aspen Plus 的基础课程，面向参加 “2020年大学生化工竞赛” 的在校学生和指导教师。课程的目的是使学生了解 Aspen Plus 基本建模和流程优化的方法。该课程将以网络虚拟课堂的形式进行。

课程时间表

• 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

Catering to both new and experienced users of Aspen Multi-Blend Optimizer, this course will review the importance of blending in refinery operations and the "day in the life" of the blender. Moving to advanced topics, the course will explain strategies for working with infeasibilities, how to connect with the blend controller interface (BCI), and how to leverage non-linear blending with the Aspen Blend Model Library (ABML).

Note: If you are interested in this training class you need to attend Optimize 2019 and select All Access Pass
To register please go to: https://www.optimize2019.com/events/optimize-2019/registration-bea4532088f6457b866d27d8a345765f.aspx?fqp=true

As the world's demand for fuels shifts and slows due to various factors such as more fuel efficient and electric vehicles, refiners globally are moving toward a more diversified product mix with focus on chemicals.  The operation of integrated refinery-chemical complexes brings significant synergies but also adds complexity due to the extended scope and multiple interactions.  This training session will focus on capturing the integration benefits from the planning perspective, covering subjects such as connection streams, joint decision variables and the integrated model structure.  Key topics include approaches for building accurate petrochemicals models and their impact on the characterization of the refinery streams exchanged and the modelling of crude distillation and refinery reactors.

Note: If you are interested in this training class you need to attend Optimize 2019 and select All Access Pass
To register please go to: https://www.optimize2019.com/events/optimize-2019/registration-bea4532088f6457b866d27d8a345765f.aspx?fqp=true

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.