Failure analysis of the offshore process component considering causation dependence

Samir M. Deyab, Mohammed Taleb-berrouane, Faisal Khan, Ming Yang

Research output: Contribution to journalArticleScientificpeer-review

21 Citations (Scopus)

Abstract

Offshore oil and gas processing equipment operating in harsh environments poses high risk. This risk is further increased by the susceptibility of the equipment to natural disasters such as hurricanes and snowstorms due to harsh environments. When equipment functionality is compromised, it can become a hazard to personnel as well as to other equipment. The key safety practice on the offshore facility is to isolate the equipment and minimize consequences associated with processing equipment failures. When and how to isolate vulnerable equipment is a challenge due to limited understanding of the equipment's susceptibility and dependency to failure causes and consequences. This paper presents a methodology to analyze potential failure scenarios considering causation dependency and also determine which parameter(s) have the most impact on the failure. The results of the analysis are used to identify most sensitive equipment and their potential failure causes. This analysis will help to develop effective risk management strategies focusing on critical equipment.

Original languageEnglish
Pages (from-to)220-232
Number of pages13
JournalProcess Safety and Environmental Protection
Volume113
DOIs
Publication statusPublished - Jan 2018
Externally publishedYes

Keywords

  • Accident Model
  • Bayesian network
  • Causal dependency
  • Failure Analysis
  • Offshore safety analysis
  • Probabilistic modelling
  • Sensitivity analysis

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