Application of Artificial Neural Network to Evaluate Coalbed Methane Exploration Potential: A Case Study from Permian Longtan Formation, Shuicheng, Guizhou

Author:

Mondal Debashish,Han Sijie,Sang Shuxun,Zhou Xiaozhi,Zhao Fuping,Gao Wei,Zhou Peiming,Zhang Jinchao,Xu Ang

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Reference45 articles.

1. Baowen, W., Yong, I., Di, G., et al. (2010). CBM geological condition and exploitation potential in Shuicheng Mining Area, Guizhou. Coal Geology of China, 22(10), 28–31.

2. Caiqin, B., Huanpeng, C., Yansheng, S., et al. (2017). Analysis of coalbed methane reservoir characteristics and reconstruction process in Shuicheng Mining Area. Coal Science and Technology, 45(09), 182–187.

3. Cao, Y., & Peng, L. (1995). Basic types of coal seam faults and their effect on controlling gas outburst zone. Journal of China Coal Society, 20, 413–417.

4. Cao, Z., Lin, B., & Liu, T. (2019). The impact of depositional environment and tectonic evolution on coalbed methane occurrence in West Henan, China. International Journal of Mining Science and Technology, 29(2), 297–305.

5. Chen, Y., Qin, Y., Li, Z., Chang, H., & Luo, Z. (2012). Magma thermal metamorphism of the Longtan formation coals in Zhijin Guizhou. Journal of China University of Mining and Technology, 41, 406–414.

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