In this case study learn how a global oil and gas company was able to detect and predict a variety of pending equipment failures. Download today to uncover how Aspen Mtell enabled the company to correctly identify all reported events – as well as unknown problems.

Phillips66 improves estimating productivity by 85% and reduces estimating variability to +/-15% with a five year before and after analysis of estimates vs. completed projects. Download the case study to learn more.

This case study details the methodical approach a global supermajor took, utilizing best-in-class technology, to improve production planning in global refineries and chemical plants with Aspen PIMS-AO technology. Based on side-by-side testing of different technologies, Aspen PIMS-AO led to new insights, increased confidence in results and enhanced conversations with traders.

Learn how a European refinery saved $4M per year by implementing an automated fouling monitoring application utilizing Aspen HYSYS, Aspen EDR and MS Excel.

A specialty plastics plant needed a solution to reduce downtime on a problematic hypercompressor in their LDPE production process.

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See how Genesis Consulting reduced “time to first oil” by two weeks, saving $3 million. This was accomplished through HYSYS and HYSYS dynamics models integrated with an FPSO's DCS control systems, for remote DCS testing and checkout.

If you’re like most food and beverage process manufacturers, it could take you weeks or months to sift through and interpret all your data. In an industry where quality and precision is everything, delays can result in unplanned downtime, defective batches, product recalls and cost overruns—all with the potential to negatively impact your company’s reputation and bottom line.

In this case study, learn how Braskem Idesa used Aspen ProMV™ to proactively identify and correct for conditions that historically led to high reactor fouling.

Siirtec Nigi increased their sulfur production from 50 to 90 tons per day using Aspen HYSYS Sulsim to simulate the case study and conduct a sensitivity analysis around their oxygen enrichment. The new process required minimal equipment changes and no additional downtime other than turnaround.