It’s critical to make sure your refinery planning models are in sync with changes in operating conditions or catalysts. However, the extensive effort required to update planning models means that many refineries are dependent on external consultants — thereby hindering regular updates and leading to lost profits. The latest innovations in Aspen HYSYS® give users a streamlined workflow, so refineries can update their Aspen PIMS™ planning models in-house, reduce the time and effort required for updates, and much more. Learn how you can leverage Aspen HYSYS® to boost profits through greater planning model accuracy!

AspenTech Joins Air Products, Chevron, Corning, DCP Midstream, Dow, DuPont, Merck and Others to Subsidize Student Membership and Design Innovation Awards in Leading Chemical Engineering Institute

Middle East Region a Strategic Focus Area in Process Industry Leader’s Growth Strategy

Norway’s Technology Centre Mongstad Uses aspenONE® Software to Reduce Plant Energy Costs and Lower Greenhouse Gas Emissions

¿Sabía que hasta el 73% de los datos dentro de una empresa no se usan? Con tantos dispositivos y procesos conectados, es fundamental que las compañías capturen, vean y compartan fácilmente los datos en áreas funcionales. Vea el webinar ahora para conocer cómo Aspen Enterprise Insights le aportará estructura y control de agregación de datos y la gestión de proceso en su organización.

Focus on Process Optimization has Helped Customers Achieve Superior Financial and Operating Results Over Three Decades

A small operational issue in dehydration, acid gas treating, or sulfur recovery units can turn into a loss of production—or worse, a frustrating and costly shutdown. Keep on top of operations and prevent issues in design with insight from process simulation designed for accuracy and full gas plant integration. Learn how the latest technology in Aspen HYSYS can empower you to troubleshoot and prevent issues in dehydration units, make confident decisions around acid gas units with predictive modeling and much more!

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AspenTech Launches Webinar Series on the Seven Best Practices of Engineering Excellence

With current shortages in on-site staffing, many companies struggle to prevent unexpected breakdowns. AI and machine learning technology leverage precise pattern recognition from manufacturing assets to provide weeks, or even months, of advanced warning on imminent degradation and failures.