天然气净化系统泄漏事故风险研究
Study on the Risk of Leakage Accidents in Natural Gas Purification Systems
DOI: 10.12677/me.2025.136136, PDF,    科研立项经费支持
作者: 高懿真, 亢志雄, 石莲红:重庆科技大学安全科学与工程学院,重庆
关键词: HFACS轨迹交叉论天然气净化事故致因HFACS Trajectory Intersection Theory Natural Gas Purification Accident Causation
摘要: 天然气,作为低碳能源的一种,以其清洁和高效特性而备受青睐。但由于天然气净化系统工艺复杂,加之天然气本身具有易燃易爆的特性,净化过程中极易发生安全事故。为深入研究天然气净化系统事故致因因素,提升事故预防能力,运用HFACS框架事故致因模型与轨迹交叉论,对近年来由净化天然气所引发的事故报告进行分析,以此建立天然气净化系统的致因因素体系,最后通过Amos得到各致因因素间以及各致因因素与事故间的关联性。研究结果表明,天然气净化系统泄漏事故致因分析突破传统局限,构建多维度致因体系以全面覆盖风险;揭示了各致因因素间以及各致因因素与事故间的关联性,基于研究结果,本文提出针对性事故预防策略,以期为天然气生产企业提供相关参考。
Abstract: As a type of low-carbon energy, natural gas is favored for its clean and efficient characteristics. However, due to the complex process of the natural gas purification system and the flammable and explosive nature of natural gas itself, safety accidents are highly likely to occur during the purification process. To conduct in-depth research on the causal factors of accidents in natural gas purification systems and improve accident prevention capabilities, this study applied the HFACS (Human Factors Analysis and Classification System) framework accident causation model and the Trajectory Intersection Theory to analyze accident reports caused by natural gas purification in recent years, thereby establishing a causation factor system for natural gas purification systems. Finally, the correlations between various causal factors and between each causal factor and accidents were obtained using Amos. The research results show that the analysis of causal factors for leakage accidents in natural gas purification systems breaks through traditional limitations and constructs a multi-dimensional causal factor system to fully cover risks; it also reveals the correlations between various causal factors and between each causal factor and accidents. Based on the research results, this paper proposes targeted accident prevention strategies to provide relevant references for natural gas production enterprises.
文章引用:高懿真, 亢志雄, 石莲红. 天然气净化系统泄漏事故风险研究[J]. 矿山工程, 2025, 13(6): 1220-1230. https://doi.org/10.12677/me.2025.136136

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