For decades, first principle models have been used for process design and optimization in the chemical industry. Recent innovations employ machine learning techniques—enriched with first principle constraints—to create a hybrid model that closely represents real plant behavior. Fast, easy access to industrial AI is helping organizations make accurate decisions to select an optimum design quickly and improve operations, maximizing productivity and minimizing energy usage.

In this on-demand webinar, AspenTech^® experts are joined by Reza Haghpanah of Dow and discuss how the company leveraged Aspen Hybrid Models^™ to:

• Develop a data-driven model of a highly integrated process
• Achieve a more accurate and comprehensive representation of the process, creating optimization opportunities
• Increase productivity of the process by 10-15% with optimum operating conditions

Learn how you can transform your operations with hybrid modeling.