SPE Paper: Application of AI Foresight Model in ADNOC Offshore for Preventing Premature ESP Failure and Extending Overall Run Life

Abstract The oil and gas industry is constantly striving to enhance operational efficiency and minimize downtime in offshore operations. Electrical Submersible Pumps (ESPs) play a crucial role in artificial lift systems, particularly in mature fields, where unexpected failures can lead to significant production losses. This paper introduces the development and application of an AI-driven model named "Foresight" by ADNOC Offshore, designed to predict ESP failure / anomalies and extend the operational life of ESPs. The model leverages real-time data analysis, machine learning algorithms, and predictive maintenance strategies to improve ESP reliability and longevity. It has been successfully implemented in an offshore carbonate reservoir, where all wells are equipped with ESPs.