Brochure

Aspen Mtell® Brochure

Aspen Mtell uses predictive maintenance technology to deliver the earliest, most accurate warning of equipment failures—enabling companies to increase safety, improve asset performance, and reduce emissions.

Case Study

PEMEX agiliza la ejecución de proyectos con diseño optimizado y estimación de costo

Descubra por qué PEMEX eligió una solución de aspenONE para ayudarlo a construir un Centro de Excelencia para impulsar el rendimiento operativo.

Brochure

Aspen GDOT™ para refinarias

Feche a lacuna entre planejamento e operações reais com a Aspen Generic Dynamic Optimization Technology (GDOT). Aspen GDOT™ alinha os objetivos de planejamento e programação, otimizando e coordenando dinamicamente várias unidades de processos em tempo real para garantir os melhores resultados econômicos em toda a unidade de forma consistente minuto a minuto. Baixe a brochura para descobrir como as empresas estão minimizando as perdas de produção, aumentando a produtividade, melhorando os rendimentos e muito mais!

Brochure

Aspen GDOT™ for Refining

Close the gap between planning and actual operations with Aspen Generic Dynamic Optimization Technology (GDOT). Aspen GDOT™ aligns planning and scheduling objectives by dynamically optimizing and coordinating multiple process units in real time to ensure the best site-wide economic results, consistently and on a minute by minute basis. Download this brochure to discover how companies are minimizing product giveaway, increasing throughput, improving yields and much more!

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

Petrochemical Production Facility Drives Value and Maximizes Return with Non-linear APC

Non-linear Advanced Process Control (APC) improved SCG’s product stability and quality, minimized variations, and enabled enhanced transition strategies.

Case Study

Aspen Mtell® Machine Learning Finds Cause of Compressor Failures at LNG Facility

Read how this LNG facility used Aspen Mtell prescriptive maintenance to provide up to 61 days advance notice of catastrophic compressor failures, preventing an economic loss of more than $40M USD per occurrence. Quick to implement and readily scalable, the solution provided key insights into the root cause of the failures.

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%.

Interview with an Expert

Achieving New Levels of Efficiency and Reliability Through Performance Management Systems

Peter Thuering shares his insight into how specialty chemicals companies are utilizing performance management systems to increase productivity and efficiency, including some of his recent experiences with customers in the industry.

Case Study

规范性维护软件帮助Saras 提升经营绩效并推动卓越运营

Saras拥有地中海最复杂的炼油厂,每天的炼油产能为30万桶。作为数字化项目的一部分,他们正在评估如何提高资本和资产密集型炼油厂运营的可靠性。他们选择了AspenMtell,基于一个竞争性试点项目选择过程,最初的重点集中在关键炼油设备上,比如大型压缩机和水泵。 Aspen Mtell通过挖掘历史和实时操作以及维护数据来发现资产性能下降和故障发生之前的精确特征,预测未来故障并制定详细的行动以缓解或解决问题。

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