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dc.contributor.authorBakker, Steffen J.
dc.contributor.authorAarlott, Mats Mathisen
dc.contributor.authorTomasgard, Asgeir
dc.contributor.authorMidthun, Kjetil Trovik
dc.date.accessioned2017-12-07T08:46:49Z
dc.date.available2017-12-07T08:46:49Z
dc.date.created2017-10-17T16:43:46Z
dc.date.issued2017
dc.identifier.citationLecture Notes in Computer Science. 2017, 10572 158-173.nb_NO
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11250/2469485
dc.description.abstractWhen a petroleum well no longer serves its purpose, the operator is required to plug and abandon (P&A) the well to avoid contamination of reservoir fluids. An increasing number of offshore wells needs to be P&A’d in the near future, and the costs of these operations are substantial. Research on planning methods in order to allocate vessels that are required to perform these operations in a cost-efficient manner is therefore essential. We use an optimization approach and propose a mixed integer linear programming model based on a variant of the uncapacitated vehicle routing problem that includes precedence and non-concurrence constraints to plan a plugging campaign. P&A costs are minimized by creating optimal routes for a set of vessels, such that all operations that are needed to P&A a set of development wells are executed. In a case study, we show that our proposed optimization approach may lead to significant cost savings compared to traditional planning methods and is well suited for P&A planning purposes on a tactical level.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Verlagnb_NO
dc.titlePlanning of an Offshore Well Plugging Campaign: A Vehicle Routing Approachnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber158-173nb_NO
dc.source.volume10572nb_NO
dc.source.journalLecture Notes in Computer Sciencenb_NO
dc.identifier.doi10.1007/978-3-319-68496-3_11
dc.identifier.cristin1505343
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article published in [Lecture Notes in Computer Science]. LOCKED until 27.9.2018 due to copyright restrictions. The final authenticated version is available online at: https://link.springer.com/chapter/10.1007%2F978-3-319-68496-3_11nb_NO
cristin.unitcode194,60,25,0
cristin.unitnameInstitutt for industriell økonomi og teknologiledelse
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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