YUE S S, FAN W H, WANG W,et al.Study on safety risk assessment of natural gas pipelines in gas-coal overlap zones based on extension theory[J].Journal of Henan Polytechnic University(Natural Science) ,2026,45(2):195-203.

doi:10.16186/j.cnki.1673-9787.2024110030

Received:2025/03/15

Revised  :2025/06/10

Published:2026/01/28

Study on safety risk assessment of natural gas pipelines in gas-coal overlap zones based on extension theory

Yue Shuaishuai1, Fan Wenhuan1, Wang Wen1,2, Guo Runsheng3, Lu Xiaowei4

1.School of Energy Science Engineering， Henan Polytechnic University，Jiaozuo  454003， Henan， China；2.Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization， Jiaozuo  454003， Henan， China；3.North China Oil and Gas Branch，China Petrochemical Co.， Ltd.， Zhengzhou  450000， Henan， China；4.School of Safety Engineering， China University of Mining and Technology， Xuzhou  221116， Jiangsu， China

Abstract: Objectives In response to the frequent accidents such as gas leakage and environmental pollution caused by natural gas pipelines in gas-coal overlap zones， this study takes pipelines in four typical overlapping mining areas of S Mine， X2 Mine， H Mine， and M Mine in the Daniudi Gas Field as examples to conduct a risk assessment of natural gas pipelines in the regions.  Methods By analyzing the causes of pipeline damage， a risk assessment system was constructed， consisting of three first-level indicators （pipeline factors， environmental factors， and personnel management factors） and seventeen second-level indicators （such as pipeline subsidence and pipeline corrosion）. Subsequently， a risk assessment model was built based on extension theory. The BP neural network was employed to calculate the weights of the indicators. The correlation degrees of the indicators were then calculated using distance correlation functions and similarity functions， respectively， followed by a quantitative risk analysis of the pipelines. Results The results show that the risk correlation degrees for pipelines in the four areas， calculated based on the distance correlation function， were 0.002， 0.034， 0.053， and 0.019， respectively. The corresponding risk similarities calculated based on the similarity function were 0.054， 0.510， 0.560， and 0.500， respectively. The corresponding risk levels for the four areas were "high risk，" "moderate risk，" "moderate risk，" and "low risk." Conclusions Both calculation methods based on the distance correlation function and the similarity function are applicable in the extension evaluation model. The assessment results are largely consistent， jointly verifying the reliability of the evaluation outcomes.

Key words :extension theory; BP neural network; gas-coal overlap zone; natural gas pipeline; risk assessment