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An intelligent recognition method of deep shale gas reservoir laminaset based on laminaset clustering and R-L-M algorithm

Yu Zeng Fuqiang Lai Haijie Zhang Yi Jiang Junwei Pu Tongtong Luo Xiaoxia Zhao

Artificial Intelligence in Geosciences2025，Vol.6Issue(1)：P.97-112,16.

Artificial Intelligence in Geosciences2025，Vol.6Issue(1)：P.97-112,16.DOI:10.1016/j.aiig.2025.100113

An intelligent recognition method of deep shale gas reservoir laminaset based on laminaset clustering and R-L-M algorithm

Yu Zeng ¹Fuqiang Lai ¹Haijie Zhang ²Yi Jiang ¹Junwei Pu ²Tongtong Luo ²Xiaoxia Zhao¹

作者信息

1. School of Petroleum and Natural Gas Engineering,Chongqing University of Science and Technology,Chongqing,China
2. Chongqing Shale Gas Exploration and Development Co.,Ltd,China
折叠

摘要

关键词

Shale/Electrical image/laminaset/clustering/R-L-M

分类

信息技术与安全科学

引用本文复制引用

Yu Zeng,Fuqiang Lai,Haijie Zhang,Yi Jiang,Junwei Pu,Tongtong Luo,Xiaoxia Zhao..An intelligent recognition method of deep shale gas reservoir laminaset based on laminaset clustering and R-L-M algorithm[J].Artificial Intelligence in Geosciences,2025,6(1):P.97-112,16.

基金项目

supported by the technology project“Identification of Layered Patterns in Deep Shale Gas Reservoirs in Yuxi Block and Its Impact on Fracturing Effectiveness”(No.20230304-05)of Chongqing Shale Gas Exploration and Development Co.,Ltd. （No.20230304-05）

Artificial Intelligence in Geosciences

ISSN：2666-5441

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