Learn why PEMEX chose an aspenONE solution to help build a Center of Excellence to drive operational performance.

Learn how PEMEX achieved less than 15% estimating variance over a five-year period with 30 major refining projects.

Large Specialty Chemical Company develops advanced KPI production partial portal tool using Aspen InfoPlus.21 tools, building upon their extensive Aspen InfoPlus.21 installation.

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See how Aspen Petroleum Scheduler and Aspen Refinery Multi-Blend Optimizer™ work together to help solve a refinery scheduling problem to realize a $0.10/bbl USD improvement in crude processed.

As part of an effort to drive reliability in its refinery operations, Saras turned to Aspen Mtell® prescriptive maintenance to improve equipment uptime and decrease maintenance costs.

Imagine a plant that is no longer at risk of a random shutdown. Imagine not worrying about losing a year’s worth of hard-fought optimization value in just two to three days due to a maintenance emergency. Through the science of maintenance, historical and real-time operational data combine to predict when a breakdown will occur with months — not just days — of advance notice.

Descargue este caso de estudio para conocer cómo una refinería en el Reino Unido utilizó Aspen GDOT para incrementar su producción de destilados medios en un 10%. La tecnología de lazo cerrado se ajusta automáticamente a múltiples unidades de proceso con base en condiciones cambiantes para mantener la consistencia del producto y mejorar el desempeño global de la refinería. Descubra cómo puede hacer que sus operaciones sean más rentables al utilizar Aspen GDOT.

意外停机影响广泛，所波及的不仅仅是工厂的生产率和盈利能力。强制关机还会对工厂和人员安全、温室气体排放和环境合规产生重大影响。但是，如果你真的可以计划停机时间呢？在本文中，我们将了解机器学习和预测分析的进步如何消除意外停机，使公司最大限度地减少最危险的情况，减少排放到环境中的气体量，提高生产率和盈利能力。

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.