News Article

Here is what Singapore firms need to know about talent sustainability

Here is what Singapore firms need to know about talent sustainability

News Article

Searching for the game changer

This article focuses on the struggles companies face when converting data into insights. AspenTech's Aspen InfoPlus.21® solution can manage this process, known as the 'game changer'.

News Article

Simulation for the masses

Simulation for the masses

News Article

EXCLUSIVE: New technologies for refineries contribute to efficiency in the oil industry

EXCLUSIVE: New technologies for refineries contribute to efficiency in the oil industry

AspenTech OSI

Camo Analyticsの買収について

On-Demand Webinar

APAC Webinar (English) - Driving Profitability and Synergy with Value Chain Optimization

Asset heavy companies tend to lack visibility into supply chain and overall value chain profitability. The Value Chain Optimization solution enables optimization of the petroleum supply chain by providing the visibility and agility necessary to respond to evolving demands.

On-Demand Webinar

APAC Webinar (English) - Driving Profitability and Synergy with Value Chain Optimization

Asset heavy companies tend to lack visibility into supply chain and overall value chain profitability. The Value Chain Optimization solution enables optimization of the petroleum supply chain by providing the visibility and agility necessary to respond to evolving demands.

Case Study

Shell Accelerates Planning, Improves Margins with Aspen PIMS-AO™ in the AWS Cloud

Shell Oil Company is a global energy and petrochemicals company that produces natural gas, gasoline, oil, and many bulk and specialty chemical products for customers worldwide. Read this case study to learn how Shell’s Manufacturing Margin Optimization team uses AspenTech solutions and AWS Cloud to optimize its energy and petrochemicals business, including planning and scheduling applications.

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

Análisis estadístico multivariable encuentra la causa de un problema de alta viscosidad en el aceite de enfriamiento

Una de las empresas más grandes a nivel mundial para productos químicos, plásticos y de refinación utilizó Aspen ProMV para entender y resolver sus problemas de producción causado por un problema de alta viscosidad en el aceite de enfriamiento. En este caso de estudio conozca cómo Aspen ProMV permitió a la empresa a destacar las principales variables de proceso que están altamente correlacionadas con problemas de viscosidad y que guio rápidamente a los ingenieros de proceso al problema subyacente para limitar las pérdidas.

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