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Spectral graph convolution networks for microbialite lithology identification based on conventional well logs

Ke-Ran Li Li-Zhou Tian Hao-Shuang Deng Wei Chen Jin-Min Song Han Wang Hai-Jun Yan Shu-Gen Liu Yang Lan Xin Jin Jia-Xin Ren Ling-Li Zhao

石油科学（英文版）2025，Vol.22Issue(4)：1513-1533,21.

石油科学（英文版）2025，Vol.22Issue(4)：1513-1533,21.DOI:10.1016/j.petsci.2025.02.008

Spectral graph convolution networks for microbialite lithology identification based on conventional well logs

Ke-Ran Li ¹Li-Zhou Tian ¹Hao-Shuang Deng ¹Wei Chen ¹Jin-Min Song ¹Han Wang ¹Hai-Jun Yan ²Shu-Gen Liu ³Yang Lan ⁴Xin Jin ¹Jia-Xin Ren ¹Ling-Li Zhao¹

作者信息

1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Chengdu University of Technology,Chengdu,610059,Sichuan,China
2. Research Institute of Petroleum Exploration and Development,Beijing,100083,China
3. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Chengdu University of Technology,Chengdu,610059,Sichuan,China||Xihua University,Chengdu,610039,Sichuan,China
4. University College London,Gower Street,London,WC1E 6BT,UK
折叠

摘要

关键词

Graph convolution network/Mirobialite/Lithology forecasting/Well log

Key words

Graph convolution network/Mirobialite/Lithology forecasting/Well log

引用本文复制引用

Ke-Ran Li,Li-Zhou Tian,Hao-Shuang Deng,Wei Chen,Jin-Min Song,Han Wang,Hai-Jun Yan,Shu-Gen Liu,Yang Lan,Xin Jin,Jia-Xin Ren,Ling-Li Zhao..Spectral graph convolution networks for microbialite lithology identification based on conventional well logs[J].石油科学（英文版）,2025,22(4):1513-1533,21.

基金项目

This study was supported by National Natural Science Founda-tion of China(Nos.41872150,U2344209 and U19B6003)and the PetroChina Southwest Oil and Gasfield Company(No.2020-54365). （Nos.41872150,U2344209 and U19B6003）

石油科学（英文版）

ISSN：1672-5107

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