Machine learning-based prediction of physical parameters in heterogeneous carbonate reservoirs using well log data

This study explores the application of machine learning techniques for predicting permeability, porosity, and flow zone indicator (FZI) in carbonate reservoirs using well log data, aiming to overcome the limitations of traditional empirical methods. Six machine learning algorithms are utilized: supp...

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Váldodahkkit:	Fuyong Wang, Xianmu Hou
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	KeAi Communications Co., Ltd. 2025-06-01
Ráidu:	Energy Geoscience
Fáttát:	Carbonate reservoir Well logs Machine learning Permeability Porosity
Liŋkkat:	http://www.sciencedirect.com/science/article/pii/S2666759225000046
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