Literature DB >> 29193193

Which Fire to Extinguish First? A Risk-Informed Approach to Emergency Response in Oil Terminals.

Nima Khakzad.   

Abstract

The performance of fire protection measures plays a key role in the prevention and mitigation of fire escalation (fire domino effect) in process plants. In addition to passive and active safety measures, the intervention of firefighting teams can have a great impact on fire propagation. In the present study, we have demonstrated an application of dynamic Bayesian network to modeling and safety assessment of fire domino effect in oil terminals while considering the effect of safety measures in place. The results of the developed dynamic Bayesian network-prior and posterior probabilities-have been combined with information theory, in the form of mutual information, to identify optimal firefighting strategies, especially when the number of fire trucks is not sufficient to handle all the vessels in danger.
© 2017 The Authors Risk Analysis published by Wiley Periodicals, Inc. on behalf of Society for Risk Analysis.

Keywords:  Domino effect; dynamic Bayesian network; entropy; firefighting; mutual information; oil terminal

Year:  2017        PMID: 29193193     DOI: 10.1111/risa.12946

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  2 in total

1.  Exploiting the Capabilities of Bayesian Networks for Engineering Risk Assessment: Causal Reasoning through Interventions.

Authors:  Andres Ruiz-Tagle; Enrique Lopez Droguett; Katrina M Groth
Journal:  Risk Anal       Date:  2021-03-09       Impact factor: 4.302

2.  Human Factor Risk Modeling for Shipyard Operation by Mapping Fuzzy Fault Tree into Bayesian Network.

Authors:  Yang Liu; Xiaoxue Ma; Weiliang Qiao; Huiwen Luo; Peilong He
Journal:  Int J Environ Res Public Health       Date:  2021-12-28       Impact factor: 3.390

  2 in total

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