Machine learning models for estimating the overall oil recovery of waterflooding operations in heterogenous reservoirs

Abstract Waterflooding is the most widely used improved oil recovery technique. Predicting the overall oil recovery resulting from waterflooding in oil reservoirs is crucial for effective reservoir management and appropriate decision-making. Machine learning (ML) techniques present resourceful and f...

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Principais autores:	Sayed Gomaa, Ahmed Ashraf Soliman, Mohamed Mansour, Fares Ashraf El Salamony, Khalaf G. Salem
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-04-01
coleção:	Scientific Reports
Assuntos:	Waterflooding Oil recovery Machine learning Artificial neural network Mobility ratio Reservoir permeability variation
Acesso em linha:	https://doi.org/10.1038/s41598-025-97235-5
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