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Machine learning-driven permeability prediction in carbonates and sandstones using NMR relaxation data

Sara Kellal Davy Nandito Ammar El-Husseiny Amjed Hassan Sherif M.Hanafy

Artificial Intelligence in Geosciences2026，Vol.7Issue(1)：P.146-161,16.

Artificial Intelligence in Geosciences2026，Vol.7Issue(1)：P.146-161,16.DOI:10.1016/j.aiig.2026.100193

Machine learning-driven permeability prediction in carbonates and sandstones using NMR relaxation data

Sara Kellal ¹Davy Nandito ¹Ammar El-Husseiny ²Amjed Hassan ³Sherif M.Hanafy²

作者信息

1. Department of Geosciences,College of Petroleum Engineering&Geosciences,King Fahd University of Petroleum&Minerals,Dhahran,31261,Saudi Arabia
2. Department of Geosciences,College of Petroleum Engineering&Geosciences,King Fahd University of Petroleum&Minerals,Dhahran,31261,Saudi Arabia Center for Integrative Petroleum Research,College of Petroleum Engineering&Geosciences,King Fahd University of Petroleum&Minerals,Dhahran,31261,Saudi Arabia
3. Center for Integrative Petroleum Research,College of Petroleum Engineering&Geosciences,King Fahd University of Petroleum&Minerals,Dhahran,31261,Saudi Arabia
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摘要

关键词

Permeability/Nuclear magnetic resonance(NMR)/Machine learning

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能源科技

引用本文复制引用

Sara Kellal,Davy Nandito,Ammar El-Husseiny,Amjed Hassan,Sherif M.Hanafy..Machine learning-driven permeability prediction in carbonates and sandstones using NMR relaxation data[J].Artificial Intelligence in Geosciences,2026,7(1):P.146-161,16.

基金项目

support provided by the College of Petroleum Engineering and Geosciences(CPG)at King Fahd University of Petroleum and Minerals(KFUPM)in carrying out this study. （CPG）

Artificial Intelligence in Geosciences

ISSN：2666-5441

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