摘要：With the large-scale development of industry, China's demand for oil and natural gas is increasing, transnational long-distance pipeline to achieve the long-distance transportation of oil and natural gas in a convenient way, pipeline accidents have a greater impact, the consequences are more serious, the risk identification of transnational long-distance pipeline is of great significance. In this paper, the risk nodes of cross-country long-distance pipeline established through the rooting theory and the coding realized by NVivo 11 software provide a theoretical basis for the identification of key risk factors in complex networks. The risk network of cross-country long-distance pipeline is identified through the complex network theory, and the topological characteristics of the risk network are analyzed, and the key risk factors of cross-country long-distance pipeline accidents are identified through the analysis of degree, centrality, and PageRank value. 漏 2024 IEEE.

ISSN号：-

卷、期、页：p282-286

发表日期：2024-05-17

期刊分区（SCI为中科院分区）：无

收录情况：EI（工程索引）

发表期刊名称：2024 3rd International Conference on Energy, Power and Electrical Technology, ICEPET 2024

参与作者：李兴涛,禹盛阳

通讯作者：蒋璐朦,李馨怡

第一作者：董绍华,胡瑾秋

论文类型：会议论文

论文概要：蒋璐朦,董绍华,胡瑾秋,李馨怡,李兴涛,禹盛阳，Risk identification of transnational long-distance pipelines based on complex network theory，2024 3rd International Conference on Energy, Power and Electrical Technology, ICEPET 2024，2024，p282-286

论文题目：Risk identification of transnational long-distance pipelines based on complex network theory