Proceedings of the 2026 2nd International Conference on Resilient City and Safety Engineering (ICRCSE 2026)

2026 2nd International Conference on Resilient City and Safety Engineering (ICRCSE 2026)

📍Zhengzhou, China🗓️ 26-28 June 2026

Study on Layered Measurement Analysis of Comprehensive Gas Extraction by Cross-measure Boreholes in Coal Seam Groups

Authors
Ding Hong1, 2, *
1State Key Laboratory of Coal Mine Disaster Prevention and Control, Chongqing, 400037, China
2Chongqing Research Institute Co, Ltd. China Coal Technology and Engineering Group, Chongqing, 400037, China
*Corresponding author. Email: cqcctegdh@gmail.com
Corresponding Author
Ding Hong
Available Online 30 September 2026.
DOI
10.2991/978-94-6239-783-5_13How to use a DOI?
Keywords
Coal Seam Groups; Cross-measure Boreholes; Gas Extraction; Carbon Isotope
Abstract

Combined gas extraction using cross-measure boreholes in coal seam groups is a key technology for gas control in highly gassy mines. However, it is difficult to separately measure the gas contribution of each coal seam under mixed extraction conditions. This situation seriously restricts the accurate evaluation of extraction standards and the calculation of residual gas content. To solve this problem, based on the law of conservation of mass for carbon isotopes of mixed-source gases, a layered measurement model for comprehensive gas extraction by cross-measure boreholes in coal seam groups was constructed. Taking No.9 and No.10 coal seams in Shanjiaoshu Coal Mine, Guizhou Province as the research object, on-site sampling and laboratory tests were carried out to measure the volume fraction of gas components and methane carbon isotope values of each coal seam, and the gas mixing ratio of each coal seam in combined extraction was calculated. The results show that there are significant differences in methane carbon isotope values between No.9, No.10 coal seams and mixed gas, which can be used as the basis for layered measurement; the average value of three measuring points shows that the gas proportion of No.9 coal seam is 56.24%, and that of No.10 coal seam is 43.76%. The research realizes accurate layered measurement of gas extracted from coal seam groups, providing scientific and technical support for inspecting gas extraction effects, evaluating compliance standards, and preventing gas-related disasters.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 2nd International Conference on Resilient City and Safety Engineering (ICRCSE 2026)
Series
Advances in Engineering Research
Publication Date
30 September 2026
ISBN
978-94-6239-783-5
ISSN
2352-5401
DOI
10.2991/978-94-6239-783-5_13How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Ding Hong
PY  - 2026
DA  - 2026/09/30
TI  - Study on Layered Measurement Analysis of Comprehensive Gas Extraction by Cross-measure Boreholes in Coal Seam Groups
BT  - Proceedings of the 2026 2nd International Conference on Resilient City and Safety Engineering (ICRCSE 2026)
PB  - Atlantis Press
SP  - 126
EP  - 135
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-783-5_13
DO  - 10.2991/978-94-6239-783-5_13
ID  - Hong2026
ER  -