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dc.contributor.authorRedutskiy, Yury
dc.date.accessioned2023-07-06T11:56:27Z
dc.date.available2023-07-06T11:56:27Z
dc.date.created2017-03-28T18:26:36Z
dc.date.issued2017
dc.identifier.citationManagement and Production Engineering Review. 2017, 8 (1), 46-59.en_US
dc.identifier.issn2080-8208
dc.identifier.urihttps://hdl.handle.net/11250/3076598
dc.description.abstractOil and gas industry processes are associated with significant expenditures and risks. Adequacy of the decisions on safety measures made during early stages of planning the facilities and processes contributes to avoiding technological incidents and corresponding losses. Formulating straightforward requirements for safety instrumented systems that are followed further during the detailed engineering design and operations is proposed, and a mathematical model for safety system design is introduced in a generalized form. The model aims to reflect the divergent perspectives of the main parties involved in oil and gas projects, and, therefore, it is formulated as a multi-objective problem. Application of black box optimization is suggested for solving real-life problem instances. A Markov model is applied to account for device failures, technological incidents, continuous restorations and periodic maintenance for a given process and safety system configuration. This research is relevant to engineering departments and contractors, who specialize in planning and designing the technological solution.en_US
dc.language.isoengen_US
dc.relation.urihttp://mper.org/mper/images/archiwum/2017/nr1/6-redutskiy.pdf
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleOptimization of safety instrumented system design and maintenance frequency for oil and gas industry processesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber46-59en_US
dc.source.volume8en_US
dc.source.journalManagement and Production Engineering Reviewen_US
dc.source.issue1en_US
dc.identifier.doi10.1515/mper-2017-0006
dc.identifier.cristin1461859
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal