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dc.contributor.authorLog, Torgrim
dc.contributor.authorPedersen, Wegar Bjerkeli
dc.date.accessioned2019-10-30T09:53:56Z
dc.date.available2019-10-30T09:53:56Z
dc.date.issued2019-10-24
dc.description.abstractGas leaks in the oil and gas industry represent a safety risk as they, if ignited, may result in severe fires and/or explosions. Unignited, they have environmental impacts. This is particularly the case for methane leaks due to a significant Global Warming Potential (GWP). Since gas leak rates may span several orders of magnitude, that is, from leaks associated with potential major accidents to fugitive emissions on the order of 10−6 kg/s, it has been difficult to organize the leaks in an all-inclusive leak categorization model. The motivation for the present study was to develop a simple logarithmic table based on an existing consequence matrix for safety related incidents extended to include non-safety related fugitive emissions. An evaluation sheet was also developed as a guide for immediate risk evaluations when new leaks are identified. The leak rate table and evaluation guide were tested in the field at five land-based oil and gas facilities during Optical Gas Inspection (OGI) campaigns. It is demonstrated how the suggested concept can be used for presenting and analysing detected leaks to assist in Leak Detection and Repair (LDAR) programs. The novel categorization table was proven valuable in prioritizing repair of “super-emitter” components rather than the numerous minor fugitive emissions detected by OGI cameras, which contribute little to the accumulated emissions. The study was limited to five land based oil and gas facilities in Norway. However, as the results regarding leak rate distribution and “super-emitter” contributions mirror studies from other regions, the methodology should be generally applicable. To emphasize environmental impact, it is suggested to include leaking gas GWP in future research on the categorization model, that is, not base prioritization solely on leak rates. Research on OGI campaign frequency is recommended since frequent coarse campaigns may give an improved cost benefit ratio.en_US
dc.descriptionSource at <a href=https://doi.org/10.3390/en12214063>https://doi.org/10.3390/en12214063. </a>en_US
dc.identifier.citationLog, T. & Pedersen, W.B. (2019). A Common Risk Classification Concept for Safety Related Gas Leaks and Fugitive Emissions? <i>Energies, 12</i>(21), 4063. https://doi.org/10.3390/en12214063en_US
dc.identifier.cristinIDFRIDAID 1740380
dc.identifier.doi10.3390/en12214063
dc.identifier.issn1996-1073
dc.identifier.urihttps://hdl.handle.net/10037/16521
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.journalEnergies
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Technology: 500en_US
dc.subjectVDP::Teknologi: 500en_US
dc.subjectFugitive emissionsen_US
dc.subjecthydrocarbon leaksen_US
dc.subjectOptical Gas Imaging (OGI)en_US
dc.subjectleak detection and repair (LDAR)en_US
dc.titleA Common Risk Classification Concept for Safety Related Gas Leaks and Fugitive Emissions?en_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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