Discover how Chevron overcame the challenge of rapidly returning APC controllers to service after unit turnarounds. Using aspenONE APC applications, Chevron reduced the effort required to maintain controller models. In addition to this, Chevron saved thousands of dollars for each day the controller would have been offline.

Learn how YPFB Andina was able to increase their gas production using an integrated model solution that was able to provide a $280M increase in revenue in 1 year.

Lubrizol社がどのようにAspen Plus を活用し、包括的にプロセス開発を行い、短期市場投入を実現しているか事例をご紹介します。

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

Learn how a major European chemical producer implemented aspenONE® Supply Chain Management, integrated to their SAP ERP system, and was able to reduce inventories by 20%, achieve 97% on time deliveries, and reduce the number of campaign transitions by 20%.

Learn how Tupras used the column analysis capability in Aspen HYSYS and its integration with Aspen Exchanger Design & Rating to significantly increase the column capacity and meet the required product specifications.

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%.

Conozca cómo Tupras utilizó el análisis de columnas en Aspen HYSYS en conjunto con Aspen Exchanger Design & Rating para incrementar en un 40% la capacidad de columna y al mismo tiempo cumplir con las especificaciones de calidad del producto.

When one of the world’s largest fully integrated zinc and lead smelting and refining complexes wanted to improve their metallurgical operations, the company turned to Aspen Mtell® prescriptive maintenance.

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。