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Author

W. Mahmud

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Open access Aug 2026

Machine Learning-Based Failure Prediction in Electric Submersible Pumps

A machine learning–based approach for predicting potential ESP failures using historical SCADA operational data and demonstrates that tree-based ensemble models achieve exceptional classification accuracy up to 99.96%, significantly outperforming the baseline Logistic Regression model.

W. Mahmud, Masara A. Aldowro · 0 citations

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