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Author

S. Nashed

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Sep 2026

Next-Generation Intelligent Monitoring of Oil Wells: Revolutionizing Anomaly Detection with AutoML-Driven Ensemble Intelligence

Unplanned shutdowns, equipment damage, and production losses exceeding millions of dollars per day. Traditional anomaly detection methods, often based on fixed thresholds and manual inspection, struggle to keep pace with the volume and complexity of sensor data in modern digital oilfields. This study introduces a fu...

Badr A. Mohamed, S. Nashed, Subhan Aliyev et al. · 0 citations
Conference Aug 2026

Physics-Informed Machine Learning for CO2 Solubility in Brines: Robustness to Noise and Out-Of-Distribution Conditions

Accurate prediction of CO2 solubility in formation brines is central to carbon storage design because dissolution trapping reduces CO2 mobility and supports long term containment. Yet, solubility data and correlations are often limited in coverage, uncertain at high salinity and pressure, and can be unreliable when e...

O. Ejehu, A. J. Whitcomb, M. Hunter et al. · 0 citations

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