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Identification of interlayer and connectivity analysis based on machine learning and production data:A case study from M oilfield

Xiaoshuai Wu Yuanliang Zhao Jianpeng Zhao Shichen Shuai Bing Yu Junqing Rong Hui Chen

Artificial Intelligence in Geosciences2025，Vol.6Issue(1)：P.124-138,15.

Artificial Intelligence in Geosciences2025，Vol.6Issue(1)：P.124-138,15.DOI:10.1016/j.aiig.2025.100119

Identification of interlayer and connectivity analysis based on machine learning and production data:A case study from M oilfield

Xiaoshuai Wu ¹Yuanliang Zhao ²Jianpeng Zhao ¹Shichen Shuai ²Bing Yu ³Junqing Rong ³Hui Chen³

作者信息

1. School of Earth Sciences and Engineering,Xi’an Shiyou University,Xi’an,710065,China Shaanxi Key Laboratory of Petroleum Accumulation Geology,Xi’an Shiyou University,Xi’an,710065,China
2. Exploration Department,Petrochina Tarim Oilfield Company,Korla,841000,China
3. Geological Research Institute,China Petroleum Logging Co Ltd,Xi’an,710077,China
折叠

摘要

关键词

Interlayer/Machine learning/Remaining oil distribution/Production development

分类

化学化工

引用本文复制引用

Xiaoshuai Wu,Yuanliang Zhao,Jianpeng Zhao,Shichen Shuai,Bing Yu,Junqing Rong,Hui Chen..Identification of interlayer and connectivity analysis based on machine learning and production data:A case study from M oilfield[J].Artificial Intelligence in Geosciences,2025,6(1):P.124-138,15.

基金项目

supported by the Natural Science Basic Research Program of Shaanxi(2024JC-YBMS-202). （2024JC-YBMS-202）

Artificial Intelligence in Geosciences

ISSN：2666-5441

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