M. Gudipati

An Innovative Machine Learning (ML)-Based Approach for ESP Predictive Monitoring Using Anomaly Detection and Survival Models

Electrical Submersible Pumps (ESPs) are commonly used in high-flow wells for their compact design and reliability, but their replacement requires costly well interventions. Early failure prediction is thus crucial in reducing downtime and improving maintenance strategies. This study introduces a cutting-edge machine...