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A. Joledo

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Conference Aug 2026

Edge-Deployed Machine Learning Sensor (MLSensor) for Real-Time Anomaly Detection in Electrical Submersible

Electrical Submersible Pumps (ESPs) are critical artificial lift assets whose unexpected failure causes significant non-productive time and workover costs, with unplanned shutdowns lasting up to several weeks. Existing monitoring systems rely on reactive, threshold-based alarms applied to surface measurements. These...

T. M. Busoye, Q. A. Jokomba, O. M. Busoye et al. · 0 citations
Conference Aug 2026

Prediction of Sand Production in Vertical Oil Well Using Supervised Machine Learning Models

Sand production has become a significant concern in the hydrocarbon recovery process from unconsolidated reservoirs which may result in equipment damage, flow restrictions, and costly operational downtime in vertical oil wells. Accurate prediction of sand production is vital to optimize well integrity. Conventional g...

S. Balogun, A. Joledo · 0 citations

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