Abstract
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.
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The different versions of the original document can be found in:
- https://www.e3s-conferences.org/articles/e3sconf/pdf/2018/13/e3sconf_icemee2018_01010.pdf under the license https://creativecommons.org/licenses/by
- https://www.e3s-conferences.org/articles/e3sconf/abs/2018/13/e3sconf_icemee2018_01010/e3sconf_icemee2018_01010.html,
- https://www.e3s-conferences.org/articles/e3sconf/pdf/2018/13/e3sconf_icemee2018_01010.pdf,
- https://academic.microsoft.com/#/detail/2806655710 under the license cc-by
under the license http://creativecommons.org/licenses/by/4.0/
Document information
Published on 01/01/2018
Volume 2018, 2018
DOI: 10.1051/e3sconf/20183801010
Licence: Other
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