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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Fuyong Wang, Xianmu Hou
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-06-01
Series:Energy Geoscience
Subjects:
Carbonate reservoir
Well logs
Machine learning
Permeability
Porosity
Online Access:http://www.sciencedirect.com/science/article/pii/S2666759225000046
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2666759225000046

Similar Items