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From Data to Action: Field Deployment of Live Physics-Based Models for ESP Optimization and Operational Efficiency Gains

Aug 2026 · Americas · 0 citations

Abstract

Artificial lift systems represent a critical component of production operations in large onshore oil fields with high well counts and aggressive production targets. Electrical Submersible Pumps (ESPs), while offering high production capacity, are sensitive to operating envelope excursions, flow instabilities, and degradation mechanisms that can impact both production efficiency and run life. This paper presents the results of a multi-phase field pilot evaluating an integrated digital workflow that combines physics-based ESP models with data-driven failure prediction and Remaining Useful Life (RUL) analytics. The evaluation was conducted on more than 100 ESP-lifted wells in a mature, high-rate onshore oil field in the Middle East. Results demonstrate measurable production uplift, improved surveillance efficiency, and enhanced early warning capabilities for ESP reliability, while also highlighting limitations associated with data quality and failure diversity.

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