Case Study

UK Refinery Increases Middle Distillate Production with Aspen GDOT™

Download this case study to learn how a refinery in the UK used Aspen GDOT to increase middle distillate production by 10%. The closed loop optimization technology, adjusts multiple process units in real-time to maintain product consistency and improve overall refinery performance. Discover how you can drive more profitable operations with Aspen GDOT.

Case Study

Refinery Optimizes Middle Distillate System in Real Time with Aspen GDOT™

Learn how one of world’s largest multinational energy companies used Aspen GDOT to maximize production of specific diesel and jet fuel products at one of its refineries. By using real-time optimization across multiple APC units, the refinery was able to decrease sulfur giveaway by 70%. Download this case study to learn how you can optimize production and reduce product giveaway.

Case Study

Refinería en Reino Unido incrementa producción de destilados medios con Aspen GDOT™

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.

Case Study

Refinería optimiza tren de destilados medios en tiempo real con Aspen GDOT™

Aprenda cómo una de las compañías de energía multinacionales más grandes del mundo uso Aspen GDOT en una de sus refinerías para maximizar la producción de diésel especifico y de jet. Al usar optimización en tiempo real a través múltiples unidades de APC, la refinería fue capaz de reducir en un 70% el regalo de azufre. Descargue este caso de estudio para conocer cómo puede optimizar su producción y reducir el regalo de calidad de su producto.

Case Study

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

Shell’s Manufacturing Margin Optimization team uses AspenTech solutions to optimize its energy and petrochemicals business, including planning and scheduling applications. In a highly collaborative global project with AspenTech, Shell successfully deployed Aspen PIMS-AO in the Cloud resulting in margin uplift, improved work-life balance and reduced IT costs. Read this case study to learn how you can improve margins with Aspen PIMS-AO in the Cloud.

Case Study

Case Study: Prescriptive Maintenance Software Helps Saras Improve Business Performance and Drive Operational Excellence

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. Learn how Saras executed a project within weeks that predicted equipment failures up to 45 days in advance using prescriptive analytics, and enabled the company to increase revenue and cut operating expenses.

Case Study

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

Shell’s Manufacturing Margin Optimization team uses AspenTech solutions to optimize its energy and petrochemicals business, including planning and scheduling applications. In a highly collaborative global project with AspenTech, Shell successfully deployed Aspen PIMS-AO in the Cloud resulting in margin uplift, improved work-life balance and reduced IT costs. Read this case study to learn how you can improve margins with Aspen PIMS-AO in the Cloud.

Case Study

European Refinery Tackles Heat Exchange Issues and Saves Millions in the Process

Learn how a European refinery saved $4M per year by implementing an automated fouling monitoring application utilizing Aspen HYSYS, Aspen EDR and MS Excel.

Case Study

Digital Transformation with Predictive Maintenance Drives Cost Savings

Read how this large energy company used Aspen Mtell to get notification of pending failures in a hydrogen compressor more than 35 days in advance—enabling as much as $30M USD in potential savings by planning the shutdown to minimize production losses.

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.

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