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.
Brochure
Aspen Plus New Feature Comparison Chart
Aspen Plus has been updated and improved with additional features over the last few years. From concurrent engineering to integrated solids modeling and batch modeling, experience the latest innovations in chemical process simulation. This checklist shows the addition of features and incremental improvements by version.
Brochure
Aspen HYSYS New Feature Comparison Chart
Aspen HYSYS has been updated and improved with additional features over the last few years. From concurrent engineering to integrated gas plant modeling and refinery-wide modeling to streamlined process safety analysis, experience the latest innovations in chemical process simulation. This checklist shows the addition of features and incremental improvements by version.
Case Study
Dos fallas inminentes se detuvieron a las dos semanas del monitoreo
Lea cómo esta compañía minera utilizó Aspen Mtell para predecir dos posibles fallas cuando se implementó en 12 activos durante un breve piloto en línea. Permitiendo así, un tiempo de inactividad planificado de equipos críticos, ahorrando dinero por cortes inesperados.
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