Petroleum refining planning and scheduling models created using Aspen PIMS™ and Aspen Petroleum Scheduler are essential for making key decisions regarding feedstock selection and refinery operating conditions that affect refining profit margins. Engineering simulations in Aspen HYSYS® Petroleum Refining can help improve the accuracy of the planning and scheduling models to increase refining profit margins. View this on-demand webinar to gain an understanding of how to improve petroleum refining margins with better collaboration among Engineering, Planning, and Scheduling groups.

Learn how refineries can address their reconfiguration and operational challenges with a robust and manageable refinery-wide process model developed using Aspen HYSYS.

Complex processes present a challenge for refinery operations. The operational risks involved call for accurate analysis of plant behavior before making any changes to operations. Process simulation technology specialized in refining such as Aspen HYSYS Petroleum Refining® enables engineers to accurately simulate refinery operations to aid better decisions. Learn how you can leverage the latest technological innovations to make better operational decisions.

复杂的工艺对炼油厂的运营提出了挑战。由于涉及诸多风险，因此在更改任何运营方式之前，必须对工厂行为进行准确的分析。专门针对炼油的过程模拟技术（例如艾斯本 HYSYS Petroleum Refining®）使工程师能够准确地模拟炼油厂运营过程，以便做出更好的决策。学习如何利用最新的创新技术做出更好的运营决策。

This webinar shows how the Swedish company Preem saved millions through the optimization of their crude pre-heat train network at their Preemraff Lysekil refinery using aspenONE Engineering software.

Learn how to simplify and improve your petroleum refining simulations using multi-unit engineering models. With the availability of a complete suite of refinery reactor models, accurately model all of the refinery reactors in the easy-to-use Aspen HYSYS® Petroleum Refining software.

In 2020, the energy industry will get serious about applying digitalization to create agile organizations that can navigate the coming energy transition.

Descargue este caso de estudio para conocer cómo uno de los complejos más grandes y completamente integrados de fundición y refinería de zinc y plomo deseaba mejorar sus operaciones metalúrgicas. Queriendo hacer un mejor uso de los datos que su sistema de gestión de mantenimiento registraba, la compañía realizó un piloto de Aspen Mtell para evaluar la efectividad del mantenimiento basado en monitoreo de condiciones de equipos.

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.

Each day, millions of dollars are lost due to unplanned downtime. More than 80% of machine failures will occur regardless of the maintenance performed. Watch this video to learn how AspenTech's Asset Performance Management (APM) suite leverages the power of predictive and prescriptive analytics to improve the reliability of your system, processes, and equipment.