{"title":"孟加拉国三个天然气田采油系统风险感知与安全分析","authors":"Md. Numan Hossain, M. Farhad Howladar","doi":"10.1016/j.jnlssr.2022.08.003","DOIUrl":null,"url":null,"abstract":"<div><p>Accidents are common in the petroleum industry. The risk of accidents can be easily minimized by understanding the harm early in the production system. This study presents a perception-based risk and safety analysis of petroleum production systems. Data were collected from three fields operated by Sylhet Gas Fields Limited in Bangladesh. The Statistical Package for the Social Sciences (SPSS) software was used to analyze the data. The results were then subjected to a frequency analysis, an analysis of variance (ANOVA), and a reliability analysis. The frequency analysis indicated the overall safety situation, and the ANOVA models and reliability analysis substantiated the results. A chi-squared test indicated the association between the datasets. The outcomes of the risk matrix indicated various risk levels, such as low, moderate, and high. According to the implicit risks, necessary measures were recommended for the industry's future.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"3 4","pages":"Pages 362-371"},"PeriodicalIF":3.7000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666449622000457/pdfft?md5=5a0092248f6b338d1e24c4814d78343a&pid=1-s2.0-S2666449622000457-main.pdf","citationCount":"2","resultStr":"{\"title\":\"Risk perception and safety analysis on petroleum production system of three gas fields in Bangladesh\",\"authors\":\"Md. Numan Hossain, M. Farhad Howladar\",\"doi\":\"10.1016/j.jnlssr.2022.08.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Accidents are common in the petroleum industry. The risk of accidents can be easily minimized by understanding the harm early in the production system. This study presents a perception-based risk and safety analysis of petroleum production systems. Data were collected from three fields operated by Sylhet Gas Fields Limited in Bangladesh. The Statistical Package for the Social Sciences (SPSS) software was used to analyze the data. The results were then subjected to a frequency analysis, an analysis of variance (ANOVA), and a reliability analysis. The frequency analysis indicated the overall safety situation, and the ANOVA models and reliability analysis substantiated the results. A chi-squared test indicated the association between the datasets. The outcomes of the risk matrix indicated various risk levels, such as low, moderate, and high. According to the implicit risks, necessary measures were recommended for the industry's future.</p></div>\",\"PeriodicalId\":62710,\"journal\":{\"name\":\"安全科学与韧性(英文)\",\"volume\":\"3 4\",\"pages\":\"Pages 362-371\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666449622000457/pdfft?md5=5a0092248f6b338d1e24c4814d78343a&pid=1-s2.0-S2666449622000457-main.pdf\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"安全科学与韧性(英文)\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666449622000457\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"安全科学与韧性(英文)","FirstCategoryId":"1087","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666449622000457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 2
摘要
事故在石油工业中很常见。通过在生产系统的早期了解危害，可以很容易地将事故的风险降到最低。本文提出了一种基于感知的石油生产系统风险与安全分析方法。数据收集自孟加拉国Sylhet气田有限公司运营的三个油田。采用SPSS (Statistical Package for The Social Sciences)软件进行数据分析。然后对结果进行频率分析、方差分析(ANOVA)和可靠性分析。频率分析表明总体安全状况，方差分析模型和信度分析证实了结果。卡方检验表明数据集之间存在关联。风险矩阵的结果显示了不同的风险水平，如低、中、高。根据隐含风险，提出了行业未来发展的必要措施。
Risk perception and safety analysis on petroleum production system of three gas fields in Bangladesh
Accidents are common in the petroleum industry. The risk of accidents can be easily minimized by understanding the harm early in the production system. This study presents a perception-based risk and safety analysis of petroleum production systems. Data were collected from three fields operated by Sylhet Gas Fields Limited in Bangladesh. The Statistical Package for the Social Sciences (SPSS) software was used to analyze the data. The results were then subjected to a frequency analysis, an analysis of variance (ANOVA), and a reliability analysis. The frequency analysis indicated the overall safety situation, and the ANOVA models and reliability analysis substantiated the results. A chi-squared test indicated the association between the datasets. The outcomes of the risk matrix indicated various risk levels, such as low, moderate, and high. According to the implicit risks, necessary measures were recommended for the industry's future.
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