Browse Course Descriptions

This Training Course is for coaching purposes only focused on APC products

• 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

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

• Review advantages of using Aspen Hybrid Models and when they should be used
• Understand and determine different types of Aspen Hybrid models and which one to use
• Become proficient in using Aspen Hybrid Models

This Training Course is for coaching purposes only focused on MES products

• 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

• 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 

Industrial organizations today are facing increasing challenges to manage asset performances as unexpected events can disrupt operations and create prolonged quality and safety issues. 

Companies will need to leverage Industrial AI (Artificial Intelligence) applications that deliver advanced analysis and visualization to help teams act quickly.

Join this training today to learn how Aspen Event Analytics™ enables your enterprise to sustain and improve operations.

Learn how to use Aspen Mtell alerts in Aspen Fidelis to quantify the impact of mechanical failures on your system performance. Accurately quantify lost revenue on production operations. Using Events Analytics discover patterns in your sensors data to identify events that you can then include in your Fidelis models to improve overall equipment effectiveness.

This course is designed for Aspen Fidelis users who can get additional values through integration using other Asset Performance Management software.

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 Training Course is for coaching purposes only focused on APM products

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. Implement advanced agent building techniques, select appropriate agent training parameters, and troubleshoot agents for maximum performance. This course will also enable you to manage and discover alerts using APM insights, troubleshoot anomaly events using Event Analytics, quantify alerts using Aspen Fidelis.

This course is designed for Aspen Mtell users who can get additional values through integration using other Asset Performance Management software.

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 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 from breaking down, makes them last longer, reduces maintenance costs, and increases the net product output of any process.

In this training, learn how to implement the Aspen Mtell project. Understand System Architecture and Installation procedure, technical reviews for defining assets and sensor groups, setting up security and connecting to adapters, importing data, building Machine Learning Agent, setting up alerts, using Mtell View to monitor alerts. 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.  

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 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. 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 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 from breaking down, makes them last longer, reduces maintenance costs, and increases the net product output of any process.

This course prepares students to build Agents for use in a Mtell real-time monitoring solution. In this training, learn the Aspen Mtell implementation methodology to create Machine Learning Agents for a single asset. Practice automatic Agent tuning for the best accuracy and earliest detection of excursions from normal behavior. Utilize past failure data and the precise patterns that match degrading conditions that lead to failure to build failure Agents. Additionally, learn to create hidden failure Agents to fully specify your input data to create agents ready for 24/7 use.  Lastly, deploy the Machine Learning Agents for continuous protection of critical plant assets.

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 students to manage the lifecycle of alerts in a Mtell real-time monitoring solution. Aspen Mtell View is a web application that helps users to manage alerts and monitor their assets online. Aspen Asset Performance Management Insights (APM Insights) is a SaaS solution hosted on Aspen Enterprise Insights that helps to manage alerts, monitor assets, and also create an enterprise dashboard to view Asset performance.

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 from breaking down, makes them last longer, reduces maintenance costs, and increases the net product output of any process.

In this training, users build and deploy Machine Learning Agents on few selected Critical Assets following best practices during the training session. During the training users will build Asset Hierarchy, Import Equipment Set, Import TDS, Audit Sensors data, clean and update the Equipment set, Deploy Hidden Failure Agents, Anomaly Agents, and Failure Agents. Review Anomaly Agents and Failure Agents. Review active alerts and Agent retuning. Transfer learning on similar Assets. 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.

Get early and accurate warnings for process health, providing insights for troubleshooting and optimization. Build and deploy batch and continuous process agents and view actionable insights to quickly address potential issues before they impact production KPIs. This course will also enable you to troubleshoot Aspen Mtell alerts impacting process operations and prompt operations to respond most effectively. Additionally, troubleshoot alerts using Event Analytics to identify historical patterns of events.

This course is designed for Aspen ProMV users who can get additional values through integration using other Asset Performance Management software.

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 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.
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

This Training Course is for coaching purposes only focused on Deployment solutions

• 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

Ce cours sur l’analyse de données spectroscopiques est destiné aux personnes qui veulent :

• Connaître les bases des méthodes de Chimiométrie
• Apprendre à traiter leurs données spectrales de manière autonome
• Découvrir la méthodologie propre au traitement des données spectroscopiques

Learn how to extract the most information from your spectral data with the Unscrambler application

Learn the basics of multivariate analysis while getting familiar with the Unscrambler application.

Learn about data analysis strategies for batch process monitoring and control.

Learn how to build models to predict groups or categories while getting familiar with Unscrambler.

Learn about key aspects of compliance and quality assurance in regulated MVA applications in process analytical technology (PAT) for analyzing and monitoring manufacturing processes.

Learn how to perform explorative, multivariate analysis of HSI data in the spectral domain, including calibration model development and its application for quality control.

Get an introduction to strategies for ensuring quality and safety with real-time process analysis.

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. Certification exam will be held on the next day.

Note: Only Credit Card Payment is accepted.


Course Schedule
 

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-hrs online instructor-led session with access to virtual training lab for self-practices. Certification exam will be held on the next day.

Note: Only Credit Card Payment is accepted.


Course Schedule

• 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. 
• Determine optimal process conditions for new or existing processes, and help de-bottleneck processes.

• 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 

• 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.

• 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 

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

Accelerate your digitalization journey by embedding Artificial Intelligence and Industrial Data into Process Simulators to enhance your model predictions and develop accurate hybrid models. Benefit from seamless integration with existing process simulators such as Aspen HYSYS® and Aspen Plus®. This training class will focus on taking an existing simulation built in Aspen HYSYS or Aspen Plus and transforming it into an Aspen Hybrid Model to leverage the power of AI without engineers requiring data science or machine learning expertise.

• 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

Test

• 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

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.

This Training Course is for coaching purposes only focused on ENG products

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

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.

This Training Course is for coaching purposes only focused on SC products

This Training Course is for coaching purposes only focused on SCM products