Learn why this world-class specialty chemical producer turned to Aspen InfoPlus.21 to improve manufacturing efficiency and increase annual production.

Petro Rabigh wanted to improve margins for refinery products, to do so, they needed to identify the most optimal production yields and qualities of their refinery and petrochemical products.

This was one of the first unconventional hydrocarbon plays undertaken by a major operator in the thick stratigraphic interval of the Montney Formation, Altares area in Northern British Colombia.

A leading chemical company with a competitive business portfolio was looking for a scalable prescriptive maintenance solution that could be deployed quickly. Aspen Mtell® has enabled them to avoid environmental health and safety issues, and also minimize their losses.

本案例研究详细介绍了一家全球超级巨头采用的系统方法，该方法利用一流技术，利用Aspen PIMS-AO技术改进全球炼油厂和化工厂的生产计划。基于对不同技术的并行测试，Aspen PIMS-AO带来了新的见解，增强了对利润结果的信心，并加强了与交易者的对话。

壳牌的制造业利润优化团队使用AspenTech解决方案优化其能源和石化业务，包括规划和调度应用程序。 在与AspenTech高度合作的全球项目中，壳牌成功地在云上部署了Aspen PIMS-AO，从而提高了利润率，改善了工作与生活的平衡，降低了IT成本。阅读本案例研究，了解如何在云中使用Aspen PIMS-AO提高利润率。

A leading resource company with global operations in oil, gas and mining needed to obtain information beyond conventional time and depth migration and improve a mining plan, bearing in mind that fracturing which results in a water inflow during production can be costly.

One of the key challenges in accelerating decision-making and reducing the development cycle of any operational E&P prospect is to seamlessly share the same updated data with all parties involved in the project. An Aspen Geolog-OSDU Connector was built by the AspenTech SSE team in close collaboration with TotalEnergies.

A major operator providing oil and gas exploration and extraction services in the Caspian Sea region deployed an ensemble simulation workflow utilizing the Aspen Big Loop technology to perform uncertainty and risk estimation as part of the project feasibility assessment, with Aspen Tempest as an orchestrator.

OCP Ecuador is a midstream oil and gas company that transports, stores and ships crude oil. With assets installed in remote locations along its 485-kilometer pipeline, the company needed a maintenance solution that would enable them to predict and prevent equipment failures before they occurred. With Aspen Mtell® prescriptive maintenance, the company can now continuously monitor its critical assets for impending failure, using both process and mechanical data.