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dc.contributor.authorKabir, Sohag
dc.contributor.authorTaleb-Berrouane, M.
dc.contributor.authorPapadopoulos, Y.
dc.date.accessioned2019-11-12T11:27:26Z
dc.date.available2019-11-12T11:27:26Z
dc.date.issued2019
dc.identifier.citationKabir S, Taleb-Berrouane M and Papadopoulos Y (2019) Dynamic reliability assessment of flare systems by combining fault tree analysis and Bayesian networks. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. Accepted for Publication.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17424
dc.descriptionYesen_US
dc.description.abstractFlaring is a combustion process commonly used in the oil and gas industry to dispose flammable waste gases. Flare flameout occurs when these gases escape unburnt from the flare tip causing the discharge of flammable and/or toxic vapor clouds. The toxic gases released during this process have the potential to initiate safety hazards and cause serious harm to the ecosystem and human health. Flare flameout could be caused by environmental conditions, equipment failure, and human error. However, to better understand the causes of flare flameout, a rigorous analysis of the behavior of flare systems under failure conditions is required. In this article, we used fault tree analysis (FTA) and the dynamic Bayesian network (DBN) to assess the reliability of flare systems. In this study, we analyzed 40 different combinations of basic events that can cause flare flameout to determine the event with the highest impact on system failure. In the quantitative analysis, we use both constant and time-dependent failure rates of system components. The results show that combining these two approaches allows for robust probabilistic reasoning on flare system reliability, which can help improving the safety and asset integrity of process facilities. The proposed DBN model constitutes a significant step to improve the safety and reliability of flare systems in the oil and gas industry.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1080/15567036.2019.1670287en_US
dc.rights© 2019 Taylor & Francis. This is an Author's Original Manuscript of an article published by Taylor & Francis in Energy Sources, Part A: Recovery, Utilization, and Environmental Effects on 24 Sep 2019 available online at http://www.tandfonline.com/10.1080/15567036.2019.1670287en_US
dc.subjectReliabilityen_US
dc.subjectFault tree analysisen_US
dc.subjectEcological risken_US
dc.subjectBayesian networken_US
dc.subjectFlare systemen_US
dc.titleDynamic reliability assessment of flare systems by combining fault tree analysis and Bayesian networksen_US
dc.status.refereedYesen_US
dc.date.Accepted2019-07-23
dc.date.application2019-09-24
dc.typeArticleen_US
dc.date.EndofEmbargo2020-09-25
dc.type.versionAccepted manuscripten_US
dc.description.publicnotesThe full-text of this article will be released for public view at the end of the publisher embargo on 25 Sep 2020.en_US
refterms.dateFOA2019-11-12T11:27:54Z


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