Case Study

Perstorp Develops KPI Production Portal to Focus Organization on Meeting Plant Production Targets

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

Case Study

Cabot Improves Quality by 30% with Aspen InfoPlus.21®

Cabot standardized on Aspen InfoPlus.21, part of the Aspen AIoT Hub™, across all manufacturing sites, improving product quality by 30% and reducing product variability by 20%.

Case Study

Infineum Increases Production by Globally by 2,000 Tons per Year with Aspen InfoPlus.21

Learn why this world-class specialty chemical producer turned to the Aspen AIoT Hub to improve manufacturing efficiency and increase annual production.

Case Study

How ORYX GTL Improves Process and Production with the Aspen AIoT Hub™

Read this case study to learn how ORYX GTL deployed two Aspen AIoT Hub products—Aspen InfoPlus.21® (IP.21) and aspenONE Process Explorer™ (A1PE)—as the underpinning their digitalization journey.

Case Study

Cómo Braskem Idesa incrementó su tiempo útil en más de 20% utilizando datos y recursos existentes

En este caso de estudio, conozca cómo Braskem Idesa utilizó Aspen ProMV ™ para identificar y corregir de manera proactiva y de acuerdo a las condiciones históricas que llevaron a una mayor velocidad de ensuciamiento.

Case Study

Como a Braskem Idesa Aumentou o Tempo Operativo do Reator em mais de 20% Usando Datos e Recursos Existentes

Neste estudo de caso, saiba como a Braskem Idesa usou o Aspen ProMV™ para identificar e corregir em forma proativa condições que históricamente levaram ao entumpimento dos reatores altos.

Case Study

How Braskem Idesa Increased Reactor Uptime by Over 20% Using Existing Data and Resources

In this case study, learn how Braskem Idesa used Aspen ProMV™ to proactively identify and correct for conditions that historically led to high reactor fouling.

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

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.

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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