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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Fuyong Wang, Xianmu Hou
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	KeAi Communications Co., Ltd. 2025-06-01
Schriftenreihe:	Energy Geoscience
Schlagworte:	Carbonate reservoir Well logs Machine learning Permeability Porosity
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2666759225000046
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