Aspen ProMV™ Saves Petrochemical Company Over $1 Million USD in Losses to Flare
A large petrochemical company was seeing incremental loss to flare of more than $1M USD annually. Read how Aspen ProMV was able resolve their issue within 2 days, save $1M per year and prevent future losses.
Multivariate Statistical Analysis Finds the Bad Actors in Light Component Losses
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.
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.