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Author

Muhammad Hammad Rasool

2 papers indexed here

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Open access 2026

Leveraging Machine Learning for Predicting Marginal Field Oil Well Production Using Electrical Submersible Pump Operations Data

Electrical Submersible Pumps (ESPs) are critical components of oil well production that can be evaluated for their longevity through daily performance predictions. Traditional predictive methodologies have failed to handle the complexity of dynamic multi-well systems, creating a demand for automated Machine Learning (M...

Mohamed Zafir Bin Mohamad Gazali, Rabeea Jaffari, Areej Fatemah Meghji et al. · 0 citations
Open access Jul 2026

Quantifying the drivers of well drilling efficiency using a hierarchical explainable machine-learning framework

Optimizing drilling efficiency requires understanding not only which parameters influence the rate of penetration (ROP), but also the relative contribution of different drilling measurement domains to predictive capability. Most machine-learning studies emphasize prediction accuracy while providing limited insight into...

Muhammad Hammad Rasool · 0 citations

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