AWS re:Invent 2024 -Predictive maintenance and optimization of electrical submersible pumps (ENU310)

Описание: In this session, explore how ExxonMobil is collaborating with Baker Hughes and AWS to optimize the performance and reliability of electrical submersible pumps (ESPs) in the Permian Basin. Learn about the technical and strategic approaches used to enhance ESP management with AWS advanced machine learning and AI capabilities. Discover how hybrid physics-based and machine learning models were deployed to predict ESP failures accurately, improving operational efficiency and reducing downtime. Learn about the challenges encountered, the innovative solutions developed, and the benefits realized, including increased production uptime and reduced maintenance costs. Join us to understand how this collaboration is driving long-term success in unconventional oil and gas operations.

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