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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Hlavní autoři:	Fuyong Wang, Xianmu Hou
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	KeAi Communications Co., Ltd. 2025-06-01
Edice:	Energy Geoscience
Témata:	Carbonate reservoir Well logs Machine learning Permeability Porosity
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2666759225000046
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