Optimized Random Forest Method for 3D Evaluation of Coalbed Methane Content Using Geophysical Logging Data-Reference-Cited by-同舟云学术

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Optimized Random Forest Method for 3D Evaluation of Coalbed Methane Content Using Geophysical Logging Data

Published:2024-08-08 Issue:33 Volume:9 Page:35769-35788
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Guo Jianhong¹²^ORCID,Zhang Zhansong¹²,Guo Guangshan³,Xiao Hang⁴,Zhao Qing¹²,Zhang Chaomo¹²,Lv Hengyang¹²,Zhu Zuomin¹²,Wang Can⁵

Affiliation:

1. Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan 430100, China

2. College of Geophysics and Petroleum Resources, Yangtze University, Wuhan 430100, China

3. CNOOC Research Institute, Beijing 100028, China

4. Research Institute of Exploration & Development, Sinopec Jianghan Oilfield Company, Wuhan 430223, China

5. Hubei Geol Bur, Hydrogeol & Engn Geol Inst, Jingzhou 434007, China

Funder

Natural Science Foundation of Hainan Province

Key Laboratory of Exploration Technologies for Oil and Gas Resources

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c04305

Reference85 articles.

1. Coal seam gas and associated water: A review paper

2. Coalbed methane completions: A world view

3. Coal mine methane: A review of capture and utilization practices with benefits to mining safety and to greenhouse gas reduction

4. Coalbed methane: A review

5. Geological controls on prediction of coalbed methane of No. 3 coal seam in Southern Qinshui Basin, North China

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