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

• Published in: International journal of mining science and technology Vol. 32; no. 6; pp. 1315 - 1328
• Main Authors: Zou, Quanle, Chen, Zihan, Cheng, Zhiheng, Liang, Yunpei, Xu, Wenjie, Wen, Peiran, Zhang, Bichuan, Liu, Han, Kong, Fanjie
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.11.2022; Elsevier
• Subjects: Bayesian network; Coal and coalbed methane; Coupling coordinated exploitation; Cuckoo search; Intelligent optimization; Cuckoo search; Coupling coordinated exploitation; Intelligent optimization; Bayesian network; Coal and coalbed methane
• DOI: 10.1016/j.ijmst.2022.11.002
• ISSN: 2095-2686

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.