Application of machine learning for permeability prediction in heterogeneous carbonate reservoirs

Accurate prediction of reservoir permeability based on geostatistical modeling and history matching is often limited by spatial resolution and computational efficiency. To address this limitation, we developed a novel supervised machine learning (ML) approach employing feedforward neural networks (F...

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Autors principals:	Osama Massarweh, Abdul Salam Abd, Jens Schneider, Ahmad S. Abushaikha
Format:	Artigo
Idioma:	Inglês
Publicat:	KeAi Communications Co. Ltd. 2026-03-01
Col·lecció:	Artificial Intelligence in Geosciences
Matèries:	Machine learning Artificial neural networks Oil reservoirs Reservoir management Reservoir characterization
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2666544125000796
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