Case Study

Eni Develops New APC Application and Achieves Significant Benefits - All Within 6 Weeks

Find out how global energy company Eni uses AspenTech’s innovative Adaptive Process Control to pilot new applications, optimize performance, and reduce maintenance time and effort.

Case Study

Marathon Petroleum Corporation Upgrades Refineries to Full Refinery Scheduling with Aspen Petroleum Scheduler™

Discover how Marathon Petroleum Corporation (MPC) used Aspen Petroleum Scheduler (APS) to develop a single cradle-to-grave barrel tracking system. Once MPC started using APS, they could provide operations with better targets on unit rates and reduce the number of operational changes that were made by 70%. This allowed the process units to spend more time on a stable operation.

Case Study

Ahorre costos con mantenimiento predictivo durante la transformación digital

Lea cómo Aspen Mtell predijo una falla en el compresor con 35 días de anticipación, permitiendo que la empresa de energía evitara una parada de emergencia y cumpliera con las metas de producción. Minimizó las pérdidas de producción planificando la parada de la planta: ahorro potencial de 30 millones de dólares

Case Study

Energy Company Drives Innovation in Predictive Maintenance via Digital Transformation Program

When developing its highly successful digital transformation program, a leading European energy company turned to Aspen Mtell® for predictive maintenance. After deploying Aspen Mtell on more than 50 large assets in a refinery, the company began testing the technology at a wind farm and had five early successes in predicting gear box failures.

Case Study

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.

Case Study

Control Column Performance Using Aspen HYSYS®

Learn how Tupras used the column analysis capability in Aspen HYSYS and its integration with Aspen Exchanger Design & Rating to significantly increase the column capacity and meet the required product specifications.

Case Study

Refinery Gets Asset Failure Predictions with Nearly a Month of Lead Time

Because traditional diagnostic methods weren’t preventing equipment failures or identifying root causes of historic failures, a U.S. refinery turned to Aspen Mtell prescriptive maintenance to improve internal data science resources. Download this case study to learn how this refinery's pilot program with Aspen Mtell was able to predict failures with nearly one month of lead time, enabling planning for maintenance and rescheduling production.

Case Study

Global Energy Company Improves Safety and Asset Integrity with Machine Learning

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.

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.

Case Study

Global Supermajor Deploys Aspen PIMS-AO™ Globally

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.

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