Implementing BORA in oil and gas process case study:Algerian industry

Bourareche, Mouloud; Nait-Said, Rachid; Ouazraoui, Nouara

doi:10.1109/ieom.2015.7093840

Cited by 1 publication

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“…Case studies have been devoted to hydrocarbon releases on offshore oil and gas production platforms (Sklet, 2006b;Aven et al, 2006b). Also, an implementation of BORA method has been performed in oil and gas process (Bourareche et al, 2015). Furthermore, based on BORA methodology described in Aven et al (2006b), Brissaud et al (2009) developed a new model for failure rate evaluation with influencing factors, especially dedicated to safety instrumented systems.…”

Section: Introductionmentioning

confidence: 99%

Improving barrier and operational risk analysis (BORA) using criticality importance analysis case study: oil and gas separator

Bourareche

Said

Zidani

et al. 2020

WJE

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Purpose The purpose of this paper is to show the impact of operational and environmental conditions (risk influencing factors) on the component criticality of safety barriers, safety barrier performance and accidents frequency and therefore on risk levels. Design/methodology/approach The methodology focuses on the integration of criticality importance analysis in barrier and operational risk analysis method, abbreviated as BORA-CIA. First, the impact of risk influencing factors (RIFs) associated with basic events on safety barrier performance and accident frequency is studied, and then, a risk evaluation is performed. Finally, how unacceptable risks can be mitigated regarding risk criteria is analyzed. Findings In the proposed approach (BORA-CIA), the authors show how specific installation conditions influence risk levels and analyze the prioritization of components to improve safety barrier performance in oil and gas process. Practical implications The proposed methodology seems to be a powerful tool in risk decision. Ordering components of safety barriers taking into account RIFs allow maintenance strategies to be undertaken according to the real environment far from average data. Also, maintenance costs would be estimated adequately. Originality/value In this paper, an improved BORA method is developed by incorporating CIA. More precisely, the variability of criticality importance factors of components is used to analyze the prioritization of maintenance actions in an operational environment.

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