Machine learning based reservoir characterization and numerical modeling from integrated well log and core data-Reference-Cited by-同舟云学术

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Machine learning based reservoir characterization and numerical modeling from integrated well log and core data

Published:2024-12 Issue: Volume:243 Page:213296
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Koray Abdul-Muaizz^ORCID,Bui Dung,Kubi Emmanuel Appiah,Ampomah William,Amosu Adewale

Publisher

Elsevier BV

Reference71 articles.

1. Cluster analysis of petrophysical and geological parameters for separating the electrofacies of a gas carbonate reservoir sequence;Abdideh;Nat. Resour. Res.,2020

2. Decision trees with minimum average depth for sorting eight elements;AbouEisha;Discrete Appl. Math.,2016

3. Development of robust model to estimate gas–oil interfacial tension using least square support vector machine: experimental and modeling study;Ahmadi;J. Supercrit. Fluids,2016

4. Classification of reservoir quality using unsupervised machine learning and cluster analysis: example from Kadanwari gas field, SE Pakistan;Ali;Geosystems and Geoenvironment,2023

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