Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Blowout fire probability prediction of offshore drilling platform based on system dynamics

Wang, YF, Liu, ZM, Jiang, JC, Khan, F and Wang, J (2019) Blowout fire probability prediction of offshore drilling platform based on system dynamics. Journal of Loss Prevention in the Process Industries, 62. ISSN 0950-4230

[img]
Preview
Text
Accepted version.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Preview

Abstract

A Barrier Failure Model of offshore platform fire is proposed based on the analysis of historical accidents. On this basis, a fault tree is built to analyze the causes of fire accidents and the Fussell Vesely importance method is used to compare the contributions degree of the basic events. However, it is known that the traditional fault tree method has some limitations on predicting the dynamic probabilities of accidents. To improve the situation, a dynamic probability prediction model is proposed by integrating fault tree with a system dynamics model. Firstly, the dynamic probability of blowout fire for offshore drilling is predicted using the proposed model. Secondly, sensitivities of causal factors are analyzed based on mutual information to find out the key contributory factors to blowout fire. The research results provide safety managers with reliable and effective risk control strategies for preventing the occurrence of accidents.

Item Type: Article
Uncontrolled Keywords: 0904 Chemical Engineering, 0911 Maritime Engineering
Subjects: T Technology > TC Hydraulic engineering. Ocean engineering
Divisions: Maritime & Mechanical Engineering (merged with Engineering 10 Aug 20)
Publisher: Elsevier
Date Deposited: 24 Oct 2019 11:12
Last Modified: 04 Sep 2021 08:36
DOI or ID number: 10.1016/j.jlp.2019.103960
URI: https://researchonline.ljmu.ac.uk/id/eprint/11630
View Item View Item