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Revised fire consequence models for offshore quantitative risk assessment
Authors:Ravichandra Pula  Faisal I Khan  Brian Veitch  Paul R Amyotte
Institution:

aFaculty of Engineering and Applied Science, Memorial University of Newfoundland, S.J. Carew Building, St John's, NL, Canada A1B 3X5

bDepartment of Chemical Engineering, Dalhousie University, Halifax, NS, Canada B3J 2X4

Abstract:Offshore oil and gas platforms are well known for their compact geometry, high degree of congestion, limited ventilation and difficult escape routes. A small mishap under such conditions can quickly escalate into a catastrophe. Among all the accidental process-related events occurring offshore, fire is the most frequently reported. It is, therefore, necessary to study the behavior of fires and quantity the hazards posed by them in order to complete a detailed quantitative risk assessment. While there are many consequence models available to predict fire hazards-varying from point source models to highly complex computational fluid dynamic models—only a few have been validated for the unique conditions found offshore.

In this paper, we have considered fire consequence modeling as a suite of sub-models such as individual fire models, radiation model, overpressure model, smoke and toxicity models and human impact models. This comprehensive suite of models was then revised by making the following modifications: (i) fire models: existing fire models have been reviewed and the ones most suitable for offshore conditions were selected; (ii) overpressure impact model: a model has been developed to quantify the overpressure effects from fires to investigate the possible damage from the hot combustion gases released in highly confined compartments; (iii) radiation model: instead of a point/area model, a multipoint grid-based model has been adopted for better modeling and analysis of radiation heat flux consequences. A comparison of the performance of the revised models with the ones used in a commercial software package for offshore risk assessment was also carried out and is discussed in the paper.

Keywords:Fire consequence modeling  Quantitative risk assessment  Offshore risk modeling
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