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Quantitative identification method for pores in shale inorganic components based on pixel information

Shitan Ning Xianglu Tang Liang Xu Wei Wu Xuewen Shi Zhenxue Jiang Xinyue Zhang Xinlei Wang

Natural Gas Industry B2025，Vol.12Issue(4)：P.447-461,15.

Natural Gas Industry B2025，Vol.12Issue(4)：P.447-461,15.DOI:10.1016/j.ngib.2025.06.001

Quantitative identification method for pores in shale inorganic components based on pixel information

Shitan Ning ¹Xianglu Tang ¹Liang Xu ²Wei Wu ²Xuewen Shi ²Zhenxue Jiang ²Xinyue Zhang ¹Xinlei Wang¹

作者信息

1. State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing 102249,China Unconventional Oil and Gas Science and Technology Research Institute,China University of Petroleum(Beijing),Beijing 102249,China
2. Shale Gas Research Institute,PetroChina Southwest Oil&Gas Field Company,Chengdu 610051,China China Sichuan Provincial Key Laboratory of Shale Gas Evaluation and Exploitation,Chengdu 610051,China
折叠

摘要

关键词

Pixel information/Large-view image splicing technology/QEMSCAN/Inorganic pore/Quantitative identification method

分类

天文与地球科学

引用本文复制引用

Shitan Ning,Xianglu Tang,Liang Xu,Wei Wu,Xuewen Shi,Zhenxue Jiang,Xinyue Zhang,Xinlei Wang..Quantitative identification method for pores in shale inorganic components based on pixel information[J].Natural Gas Industry B,2025,12(4):P.447-461,15.

基金项目

supported by the National Natural Science Foundation of China(42372144) （42372144）

the Natural Science Foundation of Xinjiang Uygur Autonomous Region(2024D01E09) （2024D01E09）

the Strategic Cooperation Technology Projects of CNPC and CUPB(ZLZX2020-01-05). （ZLZX2020-01-05）

Natural Gas Industry B

ISSN：2352-8540

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