W02 Operationalizing Digital Twins to Advance Process Control and Optimization

Saturday, October 5
8:30 a.m. – 5:00 p.m.

The workshop is designed to introduce attendees to the fundamentals of data management essential to advancing and scaling digital transformation projects and initiatives focused on improving the optimization of asset operations and maintenance. In addition, the workshop will provide the methodology to plan and implement a digital twin solution using a combination of modeling, automation, and other necessary platform solutions. Participants can also register for the Sunday machine learning workshop to learn more about the resources needed to implement machine learning process controls.

Learning Objectives

At the conclusion of the workshop, participants will be able to

• Identify and recall the databases and formats of data relevant to treatment optimization.
• Determine the application of traditional modeling along with data-driven techniques for prediction and optimization.
• Describe the data engineering and management steps and processes involved in the development of digital twins for treatment process prediction and optimization.
• Apply the steps and processes to develop a digital twin solution.

Workshop Organizers

• Workshop Chair: Prabhushankar Chandrasekeran, Arcadis U.S. Inc.
• Workshop Vice Chair: John Copp, Primodal Inc.