{"title":"陆上油气管道风险分析:文献综述与文献计量分析","authors":"Haile Woldesellasse , Solomon Tesfamariam","doi":"10.1016/j.iintel.2023.100052","DOIUrl":null,"url":null,"abstract":"<div><p>A significant number of research papers focusing on the risk analysis of oil and gas pipelines have been published. The present study includes a bibliometric analysis and literature review, considering publications from 1982 to 2022, to provide a comprehensive overview of research contributions in the field of risk assessment for oil and gas pipelines. Various techniques, such as trend analysis, bibliographic coupling, co-occurrence analysis, network analysis, and citation analysis are used to study the published papers related to the subject topic. Based on the research's keywords, the co-occurrence analysis reveals the strong and weak connections between various topics in this domain, and as a result, future research areas can be identified.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk analysis of onshore oil and gas pipelines: Literature review and bibliometric analysis\",\"authors\":\"Haile Woldesellasse , Solomon Tesfamariam\",\"doi\":\"10.1016/j.iintel.2023.100052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A significant number of research papers focusing on the risk analysis of oil and gas pipelines have been published. The present study includes a bibliometric analysis and literature review, considering publications from 1982 to 2022, to provide a comprehensive overview of research contributions in the field of risk assessment for oil and gas pipelines. Various techniques, such as trend analysis, bibliographic coupling, co-occurrence analysis, network analysis, and citation analysis are used to study the published papers related to the subject topic. Based on the research's keywords, the co-occurrence analysis reveals the strong and weak connections between various topics in this domain, and as a result, future research areas can be identified.</p></div>\",\"PeriodicalId\":100791,\"journal\":{\"name\":\"Journal of Infrastructure Intelligence and Resilience\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Infrastructure Intelligence and Resilience\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772991523000270\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Infrastructure Intelligence and Resilience","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772991523000270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Risk analysis of onshore oil and gas pipelines: Literature review and bibliometric analysis
A significant number of research papers focusing on the risk analysis of oil and gas pipelines have been published. The present study includes a bibliometric analysis and literature review, considering publications from 1982 to 2022, to provide a comprehensive overview of research contributions in the field of risk assessment for oil and gas pipelines. Various techniques, such as trend analysis, bibliographic coupling, co-occurrence analysis, network analysis, and citation analysis are used to study the published papers related to the subject topic. Based on the research's keywords, the co-occurrence analysis reveals the strong and weak connections between various topics in this domain, and as a result, future research areas can be identified.
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