能源地球科学（英文）2026，Vol.7Issue(4)：110-125,16.DOI:10.1016/j.engeos.2026.100556
Quantitative geophysical prediction of shale TOC based on neural networks:A case study in the southern Sichuan Basin,China
Quantitative geophysical prediction of shale TOC based on neural networks:A case study in the southern Sichuan Basin,China
Chaorong Wu 1Xianqiong Cheng 1Cheng Liu 2Kaixing Huang 1Yizhen Li 3Yong Li 1Junxiang Li 3Yuexiang Hao 3Ziqi Wang 1Xingxing Guo1
作者信息
- 1. College of Geophysics,Chengdu University of Technology,Chengdu,Sichuan,610059,China
- 2. Sichuan Natural Resources Investment Group Geophysical Exploration Institute Co.,Ltd,Chengdu,Sichuan,610072,China
- 3. CNPC Chuanqing Drilling Engineering Company.,Ltd,Chengdu,Sichuan,610051,China
- 折叠
摘要
关键词
Shale gas/TOC/RBF neural network/Quantitative geophysical predictionKey words
Shale gas/TOC/RBF neural network/Quantitative geophysical prediction引用本文复制引用
Chaorong Wu,Xianqiong Cheng,Cheng Liu,Kaixing Huang,Yizhen Li,Yong Li,Junxiang Li,Yuexiang Hao,Ziqi Wang,Xingxing Guo..Quantitative geophysical prediction of shale TOC based on neural networks:A case study in the southern Sichuan Basin,China[J].能源地球科学（英文）,2026,7(4):110-125,16.
