Case Study

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.

News Article

Managing crude through automated scheduling

Managing crude through automated scheduling

Case Study

Mid-Size EPC Reduces Cost Estimating Time Up to 90% to Meet Tighter Schedules and Budgets

Learn how S&B reduces estimating man-hours by between 50-80% depending on project stage through use of ACCE on all bids and estimates.

News Article

Appetite for LNG grows, Industry Struggles

Appetite for LNG grows, Industry Struggles

Case Study

Westlake Chemical Improves Reaction Time from Hours to Minutes

Learn how Westlake assesses time sensitive supply chain opportunities, such as accepting a modified customer order, in a matter of minutes using Aspen Plant Scheduler rather than four hours using previous spreadsheet methods.

News Article

Big Data for the oil and gas industry

Big Data for the oil and gas industry

Case Study

UK Refinery Increases Middle Distillate Production with Aspen GDOT™

Download this case study to learn how a refinery in the UK used Aspen GDOT to increase middle distillate production by 10%. The closed loop optimization technology, adjusts multiple process units in real-time to maintain product consistency and improve overall refinery performance. Discover how you can drive more profitable operations with Aspen GDOT.

News Article

The ghost in the machine – analytics, automation and the human factor

The ghost in the machine – analytics, automation and the human factor

Case Study

Two Looming Failures Stopped Within Two Weeks of Monitoring

Executives at this mining company were looking for a new approach to proactively handle reliability issues for critical equipment.

News Article

The future starts with Industrial AI

TechnologyReview-The future starts with Industrial AI

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