Case Study

European Engineering Company Saves $400,000 USD on CAPEX Using Performance Engineering

Discover how PETROLTERV saved significant CAPEX on a revamp project due to greater design accuracy enabled by the integrated aspenONE Engineering suite of products. Due to efficiencies gained from using this integrated software suite, PETROLTERV no longer needed to outsource a large number of engineering projects, such as air cooler design, pressure safety valve sizing and more. By increasing their ability to complete more projects in-house, PETROLTERV has reduced project costs, as well as delivered those projects on time and on budget.

Case Study

Petrofac Improves Process Design Accuracy by Debottlenecking Gas Processes Increasing Capacity by 20%

Download this case study to learn how Petrofac used Aspen HYSYS with Activated EDR models to optimize heat exchanger selection and configuration for a gas production client. This solution achieved the client's goal by increasing gas field production 20%, and as a bonus, reduced CAPEX 25%.

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.

Case Study

De reactivo a proactivo: Genere mejores resultados comerciales con machine learning

Conozca cómo se utilizó la tecnología de mantenimiento predictivo de Aspen Mtell para saber con 27 días de anticipación sobre fallas de la válvula central de una planta de plásticos especializada.

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.

Case Study

Saudi Aramco Increases Refinery Capacity by 100,000 Barrels/Day Using Plant Digital Twin

Learn how Saudi Aramco used Aspen HYSYS to analyze feasibility of refinery reconfiguration plans by developing plant digital twins of multiple units. The new reconfiguration plan projects a 100,000 barrels/day increase in the refinery’s processing capacity, a substantial reduction in fuel oil production together with a significant boost in diesel production capacity.

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

Japanese Pharmaceutical Company Improves Quality with Aspen Plus<sup>®</sup>

A 140-year-old global pharmaceutical company with headquarters in Japan adopted Aspen Plus to improve the synthesis of a new active pharmaceutical ingredient (API). Aspen Plus provided an in-depth understanding of a new API process leading to equipment improvements and optimized recipes that enabled development of a continuous process.

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

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.

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