Pore Structure Heterogeneity of Deep Marine Shale in Complex Tectonic Zones and Its Implications for Shale Gas Exploration-Reference-Cited by-同舟云学术

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Pore Structure Heterogeneity of Deep Marine Shale in Complex Tectonic Zones and Its Implications for Shale Gas Exploration

Published:2024-01-16 Issue:3 Volume:38 Page:1891-1905
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Chen Yang¹²,Tang Shuheng¹^ORCID,Tang Hongming³,Xi Zhaodong¹,Zhao Ning⁴,Sun Shasha²,Zhou Tianqi²,Zhao Shengxian⁵

Affiliation:

1. School of Energy Resource, China University of Geosciences (Beijing), Beijing 100083, China

2. PetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, China

3. School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China

4. CNOOC China Limited, Hainan Branch, Haikou 570100, China

5. Shale Gas Research Institute, PetroChina Southwest Oil & Gas Field Company, Chengdu 610051, China

Funder

National Natural Science Foundation of China

Southwest Petroleum University

China National Petroleum Corporation

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.energyfuels.3c03882

Reference67 articles.

1. Shale gas in China: Characteristics, challenges and prospects (I)

2. The characteristics and significance of conventional and unconventional Sinian–Silurian gas systems in the Sichuan Basin, central China

3. Shale gas in China: Characteristics, challenges and prospects (II)

4. Geological characteristics and high production control factors of shale gas reservoirs in Silurian Longmaxi Formation, southern Sichuan Basin, SW China

5. Deep shale gas in China: Geological characteristics and development strategies

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Shale reservoir characterization and implications for the exploration and development of the upper Permian Wujiaping Formation, Longmen–Wushankan area, eastern Sichuan Basin;Frontiers in Earth Science;2024-09-13

2. Prediction of Total Organic Carbon Content in Deep Marine Shale Reservoirs Based on a Super Hybrid Machine Learning Model;Energy & Fuels;2024-08-29

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