This paper outlines the design, development, and implementation of an upgraded Variable Speed Drive (VSD) system integrated with Artificial Intelligence (AI) for Electrical Submersible Pumps (ESP). The upgrade aims to enhance real-time monitoring of reservoir fluid properties, specifically Specific Gravity (SG), to optimize ESP performance and reduce operational costs. Importantly, this system is designed to ensure effective long-term well management, providing a sustainable solution for the industry. After evaluating various machine learning models, the integration of the Random Forest model into the VSD proved superior, signifying a significant shift away from traditional tools and leading to a demonstrated 10% increase in equipment lifespan, thus improving ESP operations and offering a sustainable future for the industry.

Keywords:
specific gravity, vsd, artificial lift system, operator, machine learning, fluid property, well condition, operation, multiphase flowmeter, variable speed drive
Subjects:
Artificial Lift Systems, Information Management and Systems, Electric submersible pumps, Artificial intelligence
Copyright 2024, Society of Petroleum Engineers DOI 10.2118/221543-MS
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