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dc.contributor.authorBakker, Steffen J.
dc.contributor.authorVrålstad, Torbjørn
dc.contributor.authorTomasgard, Asgeir
dc.date.accessioned2022-08-25T13:45:54Z
dc.date.available2022-08-25T13:45:54Z
dc.date.created2019-05-30T18:54:49Z
dc.date.issued2019
dc.identifier.citationJournal of Petroleum Science and Engineering, 2019, 180, 369-379.en_US
dc.identifier.issn0920-4105
dc.identifier.urihttps://hdl.handle.net/11250/3013614
dc.description.abstractPlug and abandonment (P&A) operations can be time-consuming and thus very costly, especially for subsea fields. P&A of subsea wells require dedicated vessels such as high cost semi-submersible drilling rigs or lower cost Riserless Light Well Intervention vessels. This paper describes an optimization model that can be used to plan multi-well P&A campaigns by finding cost-efficient vessel routes and allocation of P&A operations to different rigs and vessels. The model's functionality is demonstrated on ten different synthetic cases, generated from realistic data. Results show that significant cost savings can be made by adapting the optimal solutions from this model compared to planning strategies that are currently used by operators, as well as by cooperating across fields and licenses in a large campaign.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectPetroleum economicsen_US
dc.subjectVehicle routingen_US
dc.subjectMathematical programmingen_US
dc.subjectOptimizationen_US
dc.subjectDecommissioningen_US
dc.subjectCampaign planningen_US
dc.subjectPlug and abandonmenten_US
dc.titleAn optimization model for the planning of offshore plug and abandonment campaignsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2019 The Authors. Published by Elsevier B.V.en_US
dc.source.pagenumber369-379en_US
dc.source.volume180en_US
dc.source.journalJournal of Petroleum Science and Engineeringen_US
dc.identifier.doi10.1016/j.petrol.2019.05.042
dc.identifier.cristin1701642
cristin.unitcode7401,80,7,0
cristin.unitnamePetroleum
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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