Bayesian network modelling for offshore installations: Gas turbine fuel gas release with potential fire and explosion consequences

Loughney, SJ ORCID: 0000-0003-0217-5739, Davies, PA and Wang, J ORCID: 0000-0003-4646-9106 (2017) Bayesian network modelling for offshore installations: Gas turbine fuel gas release with potential fire and explosion consequences. In: Safety and Reliability. Theory and Application . pp. 2907-2915. (27th European Safety and Reliability Conference (ESREL 2017), 18th Jun 22nd Jun 2017, Portorož, Slovenia).

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Abstract

This paper illustrates the benefits of applying a Bayesian Network in quantitative risk assessment. The focus of the illustration is based on the potential release of fuel gas from a gas turbine used for electrical power generation on an offshore platform. The potential consequences that follow said release, such as fire, explosion and damage to equipment within an electrical generation module are also analysed. The construction of a Bayesian Network model, based upon initial research work, illustrates the interactions of potential initial failures, hazards, barriers (gas detectors and fuel shut off systems) and the subsequent consequences of a fuel gas release. This model allows for quantitative analysis to show partial validity of the BN. Partial validity of the model is demonstrated in a series of test cases.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	This is the accepted version of a paper Bayesian network modelling for offshore installations: Gas turbine fuel gas release with potential fire and explosion consequences S. Loughney, P.A. Davies & J. Wang published in the Book Title Safety and Reliability. Theory and Applications Edited By Marko Cepin, Radim Bris. Copyright 2017 Routledge Taylor & Francis Group ISBN 9781138629370, 576 Pages published by CRC Press
Uncontrolled Keywords:	49 Mathematical Sciences; 40 Engineering; 4905 Statistics
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TC Hydraulic engineering. Ocean engineering
Divisions:	Engineering
Publisher:	CRC Press Taylor & Francis Group
Date of acceptance:	25 May 2017
Date of first compliant Open Access:	27 April 2026
Date Deposited:	27 Apr 2026 14:32
Last Modified:	27 Apr 2026 14:32
DOI or ID number:	10.1201/9781315210469-369
URI:	https://researchonline.ljmu.ac.uk/id/eprint/28480

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