One of the world's largest chemical, plastic and refining companies used Aspen ProMV to understand and resolve production problems caused by an ongoing quench oil high-viscosity issue. In this case study, learn how Aspen ProMV enabled the company to highlight the top process variables highly correlated with viscosity issues, and quickly guided process engineers to the underlying issue to limit losses.

LG Chem increases capacity by 15% and saves energy through heat integration using Aspen Plus®, Aspen Energy Analyzer, and Aspen Exchanger Design and Rating

This petrochemical company launched an Aspen ProMV™ pilot project to investigate light component losses that go to the bottom of a fractionation column and pressurize the downstream column. Using Aspen ProMV for continuous processes, a model was developed, and bad actors that are highly correlated to the light product loss were identified. Aspen ProMV’s optimization tool was also utilized to provide better operating conditions to reduce losses.

Linde Engineering reduced estimating variability from 60% to 15% by adopting ACCE. They reduced their total number of estimating tools from 25 to 6.  They have integrated ACCE with 3D modeling to track project costs through detailed design and construction effectively.

Learn how a large producer of synthetic rubber used Aspen ProMV to identify the cause of ongoing quality issues with its batch products. Download the case study to read how Aspen ProMV uncovered the variables that correlated most with batch quality, resolving production problems faster to limit losses.

Learn how AspenTech’s hybrid artificial intelligence models helps the process industry solve difficult problems with AI.