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.

As scheduling has become more sophisticated, maintenance processes have evolved and improved. However, as Michael Saucier, Product Manager at AspenTech discusses, recent studies indicate that most equipment fails on a ‘random’ basis no matter how many assets are inspected. In other words, failures cannot necessarily be correlated to how maintenance was performed.

Learn how Maturus Optimi leveraged the aspenONE Engineering Desktop to manage business risk in a small company through affordable, scalable access to software. Maturus Optimi helped clients achieve better capital estimates during the feasibility study and early conceptual designs solved difficult process problems with access to a complete suite of best-in-class modeling tools.

The cross-discipline integration of modeling and analysis tools can help select the best design options and ensure the safe and profitable operation of process plants.

Pan Pacific Technologies was seeking a rigorous approach to validate the technical and economic feasibility of its proprietary algal conversion concepts. Through innovative use of Aspen Plus and Aspen Process Economic Analyzer, they developed successful technical and economic models with applications in both academia and industry.

How digitalisation can help chemicals companies become more sustainable

A major transportation company responsible for delivering customer goods on time, safely and reliably, was plagued by catastrophic failures of locomotives that had gone undetected by its current reliability techniques. Using Aspen Mtell to examine data from engine lube oil samples, a leading U.S. railway was able to save millions of dollars.

How data, machine learning can power energy sector

How chemicals companies can drive operational resilience with the digital twin

Learn how one of world’s largest multinational energy companies used Aspen GDOT to maximize production of specific diesel and jet fuel products at one of its refineries. By using real-time optimization across multiple APC units, the refinery was able to decrease sulfur giveaway by 70%. Download this case study to learn how you can optimize production and reduce product giveaway.