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.
On-Demand Webinar
Optimize the Integrated Crude Distillation and Preheat Train Unit with Aspen HYSYS®
Optimizing the operations of the integrated unit comprised of the crude distillation column and the crude preheat train has been a challenge for most refineries, given the difficulty in analyzing the unit as a whole. However, with the ‘equation-oriented’ solver technology in Aspen HYSYS, refineries can build a robust integrated model of their crude distillation column and pre-heat train network. Learn how to employ these advanced capabilities and improve your CDU operations today.
Video
Feeling a Little VUCA?
In this brief video, Antonio Pietri discusses the concept of VUCA and what that means for Industry 4.0 and digitalization in the smart enterprise.
On-Demand Webinar
Using Engineering Simulations to Improve Refining Planning and Scheduling Decisions
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.
On-Demand Webinar
中国网络研讨会:提高炼油厂运营最佳实践
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。
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