Petrochemical Company Reduces Energy Consumption at its Pyrolysis Furnaces
A global petrochemical producer wanted to improve monitoring and efficiency, specifically starting with energy consumption, of its pyrolysis furnaces by integrating a predictive vision. With the current process, it was challenging to maintain unit efficiency and stay at a consistent operating level. The company was able to solve these challenges by implementing Aspen ProMV™.
Polymers Producer Uses Digital Process Analysis to Reduce Costs and Advance Sustainable Operations
A polymer producer that specializes in the production of raw materials for the plastics industry, including polypropylene, polyethylene and masterbatch, needed a solution that would allow them to achieve the right balance between producing high-quality products and keeping the production costs in line. The company selected Aspen ProMV®, which allowed them to automate process analysis and monitoring.
Multivariate Statistical Analysis Finds the Bad Actors in Out-of-Spec Batches
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.
Multivariate Statistical Analysis Finds Cause of Quench Oil High-Viscosity Issue
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.
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