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Evaluation and intelligent deployment of coal and coalbed methane coupling coordinated exploitation based on Bayesian network and cuckoo search

Authors :
Quanle Zou
Zihan Chen
Zhiheng Cheng
Yunpei Liang
Wenjie Xu
Peiran Wen
Bichuan Zhang
Han Liu
Fanjie Kong
Source :
International Journal of Mining Science and Technology, Vol 32, Iss 6, Pp 1315-1328 (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Coal and coalbed methane (CBM) coordinated exploitation is a key technology for the safe exploitation of both resources. However, existing studies lack the quantification and evaluation of the degree of coordination between coal mining and coalbed methane extraction. In this study, the concept of coal and coalbed methane coupling coordinated exploitation was proposed, and the corresponding evaluation model was established using the Bayesian principle. On this basis, the objective function of coal and coalbed methane coordinated exploitation deployment was established, and the optimal deployment was determined through a cuckoo search. The results show that clarifying the coupling coordinated level of coal and coalbed methane resource exploitation in coal mines is conducive to adjusting the deployment plan in advance. The case study results show that the evaluation and intelligent deployment method proposed in this paper can effectively evaluate the coupling coordinated level of coal and coalbed methane resource exploitation and intelligently optimize the deployment of coal mine operations. The optimization results demonstrate that the safe and efficient exploitation of coal and CBM resources is promoted, and coal mining and coalbed methane extraction processes show greater cooperation. The observations and findings of this study provide a critical reference for coal mine resource exploitation in the future.

Details

Language :
English
ISSN :
20952686
Volume :
32
Issue :
6
Database :
Directory of Open Access Journals
Journal :
International Journal of Mining Science and Technology
Publication Type :
Academic Journal
Accession number :
edsdoj.2239cbc6848645ecbae2631a320c124e
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ijmst.2022.11.002