Details

Autor(en) / Beteiligte

• Zhang, Chao
• Qin, Ting Xin
• Huang, Shuai
• Wu, Jian Song
• Meng, Xin Yan
• Mostafa, M.

Titel

Quantitative analysis of factors that affect oil pipeline network accident based on Bayesian networks: A case study in China

Ist Teil von

• E3S Web of Conferences, 2018, Vol.38, p.1010

Ort / Verlag

Les Ulis: EDP Sciences

Erscheinungsjahr

2018

Link zum Volltext

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• Some factors can affect the consequences of oil pipeline accident and their effects should be analyzed to improve emergency preparation and emergency response. Although there are some qualitative analysis models of risk factors’ effects, the quantitative analysis model still should be researched. In this study, we introduce a Bayesian network (BN) model of risk factors’ effects analysis in an oil pipeline accident case that happened in China. The incident evolution diagram is built to identify the risk factors. And the BN model is built based on the deployment rule for factor nodes in BN and the expert knowledge by Dempster-Shafer evidence theory. Then the probabilities of incident consequences and risk factors’ effects can be calculated. The most likely consequences given by this model are consilient with the case. Meanwhile, the quantitative estimations of risk factors’ effects may provide a theoretical basis to take optimal risk treatment measures for oil pipeline management, which can be used in emergency preparation and emergency response.