To delve into the determinants of peril and their interlacing dynamics in oil mishaps, and to prudently avert and curtail the jeopardy of oil calamities, an examination of the causative agents' risk interlinkage mechanisms in oil accidents was undertaken, traversing multiple elements across a quartet of strata: personnel, facilities, environment, and management. By combining the risk factors and impact issues in the risk coupling process of oil production and use, combined with the complex N-K coupling mode, the possibility of oil accidents occurring under various risk factors coupling was comprehensively calculated, and the risk coupling mode that affects the occurrence of oil and gas accidents was analyzed. The analysis of the results shows that the more factors involved in risk coupling in the electrical system, the higher the probability of electrical accidents. Among them, the probability of personnel single-factor accidents accounted for 3.64%, while the average value of other single-factor accidents was 1.403%. It can be seen that personnel operational errors are the key factor. To prevent and reduce oil and gas accidents, it is necessary to improve people’s technical level and avoid the coupling of personnel participation in risk factors, and improve the safety construction level in oil and gas production and transportation.

Yao Hu and Sha He. Coupling Analysis of Multiple Risk Factors in Oil and Gas Accidents Based on N-K Coupling Model. International Journal of Engineering Technology and Construction (2025), Vol. 6, Issue 1: 65-79. https://doi.org/10.38007/IJETC.2025.060107.

[1] Wang J ,Fu X ,Wei H , et al.An overview of the Qiangtang Basin: Geology, hydrocarbon resources and the role of the Tethyan evolution[J].Journal of Asian Earth Sciences,2024,266106128.

[2] L. P ,V. M ,L. P , et al.Risk assessment of accidents at oil and gas infrastructure objects near the joint forces operation demarcation line[J].Procedia Structural Integrity,2022,350-355.

[3] Bahaman F S U ,Mustaffa Z ,Seghier B A E M , et al.Evaluating the reliability and integrity of composite pipelines in the oil and gas sector: A scientometric and systematic analysis[J].Ocean Engineering,2024,303117773.

[4] Li Jingjing, Chen Guoming, Zhu Yuan. Coupling risk of fire evacuation on offshore oil and gas platforms [J]. Journal of Petroleum, 2016,37 (12): 1557-1562.

[5] Liu Haifeng. Application of Fault Tree Analysis in Fire Accidents in Chemical Enterprises [J]. Chemical Management, 2024, (10): 74-77.DOI:10.19900/j.cnki.ISSN1008-4800.2024.10.019.

[6] Yazdi M ,Kabir S ,Walker M .Uncertainty handling in fault tree based risk assessment: State of the art and future perspectives[J].Process Safety and Environmental Protection,2019,104-131.

[7] Senol E Y .Assessment of human factor contribution to risk analysis of chemical cargo shortage incidents by using intuitionistic fuzzy integrated fault tree analysis[J].Ocean Engineering,2024,301117559.

[8] Wang Lijie. Construction safety risk assessment of cast-in-place box girder formwork support system based on risk matrix and analytic hierarchy process [J]. Engineering Construction, 2024,56 (03): 60-66.DOI:10.13402/j.gcjs.2024.03.039.

[9] Cui Y ,Zhou Y ,Jin J , et al.Coordinated development evaluation and diagnosis of regional water resources-social economy-ecological environment system based on mechanical model and risk matrix[J].Journal of Hydrology,2024,633131013.

[10] Li Jianfeng, Qian Cunhua. Risk assessment of urban buried polyethylene natural gas pipelines based on fuzzy comprehensive evaluation [J]. China Special Equipment Safety, 2024,40 (02): 66-72.

[11] Zhang Hui, Jia Beibei. Safety risk analysis and prevention of explosion accidents in crude benzene tanks [J]. Petrochemical Safety and Environmental Protection Technology, 2023,39 (05): 32-37+6-7.

[12] Manzoor S ,Ahanger A M.Probabilistic flood risk assessment using coupled hydrologic and 2D-hydraulic model in the Jhelum River, Northwest Himalayas[J].International Journal of Hydrology Science and Technology,2024,17(1):46-74.

[13] Chen Fuzhen, Zhang Mingguang, Wang Yan, et al. Risk analysis of domino accident coupling effect in oil and gas storage tank area [J]. Chinese Journal of Safety Science, 2017, 27 (10): 111-116.DOI:10.16265/j.cnki.issn1003-3033.2017.10.019.

[14] Sumbal R ,Ashkar A ,Sumbal A , et al.Reasons and Risk Factors for Same-Day Discharge Following Total Joint Arthroplasty: A Systematic Review.[J].Arthroplasty today,2024,101363-101363.

[15] Zhu Xiyu, Weng Guangyuan, Shang Qian. Simulation analysis and experimental study of force magnetic coupling in oil and gas pipelines under the influence of geomagnetism [J]. Technical Supervision of the Petroleum Industry, 2023,39 (08): 1-4+28.DOI:10.20029/j.issn.1004-1346.2023.08.001.

[16] Wu J B ,Jin H L ,Zheng Z X , et al.Coupling analysis of crane accident risks based on Bayesian network and the N-K model.[J].Scientific reports,2024,14(1):1133-1133.

[17] Qi Z ,Jiang-Feng L ,Zhi-Hui G , et al.Review on the challenges and strategies in oil and gas industry's transition towards carbon neutrality in China[J].Petroleum Science,2023,20(6):3931-3944.

[18] Qin Xizhuo, Jiang Xinsheng, Qian Haibing, et al. Research on the evolution of domino accident effects induced by oil and gas explosions in storage tank areas [J]. Ship Electronic Engineering, 2023,43 (10): 141-146.

[19] Zhao Mengmeng, Zhang Jing. Typical accidents and cause analysis of offshore oil and gas development [J]. Chemical Safety and Environment, 2022, 35 (08): 15-19+24.

[20] Yuan Tongming. Analysis of Safety Management and Accident Prevention Measures for Oil and Gas Storage and Transportation Engineering [J]. Yunnan Chemical Industry, 2022, 49 (11): 134-136.

[21] Dejan B ,Pavel P .Probability Analysis and Prevention of Offshore Oil and Gas Accidents: Fire as a Cause and a Consequence[J].Fire,2021,4(4):71-71.

[22] Chao-qiang W ,Shen C ,Fei-hua Y , et al.Study on properties of representative ordinary Portland cement: Heavy metal risk assessment, leaching release kinetics and hydration coupling mechanism[J].Construction and Building Materials,2023,385

[23] Wenjun Z ,Yingjun Z .Research on coupling mechanism of intelligent ship navigation risk factors based on N-K model[J].Journal of Marine Science and Technology,2023,28(1):195-207.

[24] Zhang Huabing, Yang Yufeng. Research on Risk Assessment Methods for Oil and Gas Pipelines Based on Probability Theory [J]. Industrial Safety and Environmental Protection, 2024,50 (01): 77-79.

[25] Zhang J ,Wang N .A multiple risk coupled propagation model for emergency information considering government information and government mandatory measures[J].Expert Systems With Applications,2024,249(PC):123725.

[26] Demichela M ,Piccinini N ,Poggio A .Analysis of an LPG Accidental Release[J].Process Safety and Environmental Protection,2004,82(2):128-131.

[27] Boring L R ,Rasmussen M ,Ulrich A T , et al.Retrospective Application of Human Reliability Analysis for Oil and Gas Incidents: A Case Study Using the Petro-HRA Method[J].Proceedings of the Human Factors and Ergonomics Society Annual Meeting,2017,61(1):1653-1657.

[28] Ruifang L ,Zaixu Z ,Pengfei B .Case Reasoning-Based Emergency Decision Making for Oil and Gas Accidents[J].jdr,2020,15(7):981-990.

[29] Hongyan Y ,Zhouwei Z ,Hanjie H , et al.Risk Coupling Evaluation of Social Stability of Major Engineering Based on N-K Model[J].Buildings,2022,12(6):702-702.

[30] Huang Huang, Zhao Zhihui, Zhang Anan. Research on Risk Model of Gas Electricity Coupling System in Hydrogen Doped Natural Gas Pipeline [J]. Power Capacitors and Reactive Power Compensation, 2023,44 (06): 1-11.DOI:10.14044/j.1674-1757.pcrpc.2023.06.001.

[31] Zhang J, Xu K, You G, Wang B, Zhao L. Causation analysis of risk coupling of gas explosion accident in Chinese underground coal mines[J]. Risk analysis, 2019, 39(7): 1634-1646.

[32] He Z, Weng W. A risk assessment method for multi‐hazard coupling disasters[J]. Risk analysis, 2021, 41(8): 1362-1375.