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Machine learning-based upscaling of rock permeability from pore scale to core scale:Effect of training dataset size and sub-core volumes

Yaotian Guo Fei Jiang Takeshi Tsuji Yoshitake Kato Mai Shimokawara Lionel Esteban Mojtaba Seyyedi Marina Pervukhina Maxim Lebedev Ryuta Kitamura

Earth Energy Science2026，Vol.2Issue(1)：P.30-42,13.

Earth Energy Science2026，Vol.2Issue(1)：P.30-42,13.DOI:10.1016/j.ees.2025.11.008

Machine learning-based upscaling of rock permeability from pore scale to core scale:Effect of training dataset size and sub-core volumes

Yaotian Guo ¹Fei Jiang ¹Takeshi Tsuji ²Yoshitake Kato ³Mai Shimokawara ³Lionel Esteban ⁴Mojtaba Seyyedi ⁴Marina Pervukhina ⁴Maxim Lebedev ⁵Ryuta Kitamura³

作者信息

1. Department of Mechanical Engineering,Yamaguchi University,2-16-1 Tokiwadai,Ube,Yamaguchi 755-8611,Japan
2. School of Engineering,The University of Tokyo,7-3-1 Hongo,Bunkyo-ku,Tokyo 113-8656,Japan
3. Japan Organization for Metals and Energy Security(JOGMEC),1-2-2 Hamada,Mihama-ku,Chiba 261-0025,Japan
4. CSIRO Energy Business Unit,26 Dick Perry Avenue,Kensington,Perth,WA 6151,Australia
5. Edith Cowan University,270 Joondalup Drive,Joondalup,WA 6027,Australia
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摘要

关键词

Permeability upscaling/Machine learning/Digital rock physics

分类

信息技术与安全科学

引用本文复制引用

Yaotian Guo,Fei Jiang,Takeshi Tsuji,Yoshitake Kato,Mai Shimokawara,Lionel Esteban,Mojtaba Seyyedi,Marina Pervukhina,Maxim Lebedev,Ryuta Kitamura..Machine learning-based upscaling of rock permeability from pore scale to core scale:Effect of training dataset size and sub-core volumes[J].Earth Energy Science,2026,2(1):P.30-42,13.

基金项目

supported by JSPS KAKENHI Grant Numbers JP22K03927,JP24H00440 and JP21H05202,and JST SPRING Grant Number JPMJSP2111. （）

Earth Energy Science

ISSN：2950-1547

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