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dc.contributor.authorFoss, Bjarne Anton
dc.contributor.authorKnudsen, Brage Rugstad
dc.contributor.authorGrimstad, Bjarne André
dc.date.accessioned2019-01-11T12:49:59Z
dc.date.available2019-01-11T12:49:59Z
dc.date.created2018-10-12T15:17:07Z
dc.date.issued2018
dc.identifier.citationComputers and Chemical Engineering. 2018, 114 245-253.nb_NO
dc.identifier.issn0098-1354
dc.identifier.urihttp://hdl.handle.net/11250/2580356
dc.description.abstractThis paper considers the upstream oil and gas domain, or more precisely the daily production optimization problem in which production engineers aim to utilize the production systems as efficiently as possible by for instance maximizing the revenue stream. This is done by adjusting control inputs like choke valves, artificial lift parameters and routing of well streams. It is well known that the daily production optimization problem is well suited for mathematical optimization. The contribution of this paper is a discussion on appropriate formulations, in particular the use of static models vs. dynamic models. We argue that many important problems can indeed be solved by repetitive use of static models while some problems, in particular related to shale gas systems, require dynamic models to capture key process characteristics. The reason for this is how reservoir dynamics interacts with the dynamics of the production system.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titlePetroleum production optimization - A static or dynamic problem?nb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber245-253nb_NO
dc.source.volume114nb_NO
dc.source.journalComputers and Chemical Engineeringnb_NO
dc.identifier.doi10.1016/j.compchemeng.2017.10.009
dc.identifier.cristin1620075
dc.description.localcode© 2017. This is the authors’ accepted and refereed manuscript to the article. Locked until 16.10.2019 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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