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dc.contributor.authorAlbert, Anders
dc.contributor.authorAamo, Ole Morten
dc.contributor.authorGodhavn, John-Morten
dc.contributor.authorPavlov, Alexey
dc.date.accessioned2017-12-07T12:42:18Z
dc.date.available2017-12-07T12:42:18Z
dc.date.created2015-01-16T15:35:22Z
dc.date.issued2014
dc.identifier.isbn978-3-902823-62-5
dc.identifier.urihttp://hdl.handle.net/11250/2469556
dc.description.abstractAs oil exploration and development costs rise, the oil industry increases its efforts to improve oil recovery (IOR) from existing fields. IOR is achieved mainly by drilling more wells, but drilling in partially depleted reservoirs is challenging due to narrow pressure margins. Offshore drilling in harsh environments, such as the North Sea, presents additional challenges, since the heaving motion from a floating rig induces large surge and swab pressures in the well. The paper suggests a remedy for this problem using automatic control of well pressure. Taking advantage of an experimental lab facility recently completed at NTNU, a model of the drilling system is developed using subspace identification methods. The model serves as a basis for state estimation and controller design using model predictive control. Applying the controller to the lab facility, pressure oscillations are suppressed by 70-90% compared to the open-loop case, depending on the period of the heave motion.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.relation.ispartofProceedings of the 19th IFAC World Congress, 2014
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleDisturbance Rejection by Feedback Control in Offshore Drilling: Experimental Resultsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber7923-7928nb_NO
dc.identifier.doi10.3182/20140824-6-ZA-1003.00667
dc.identifier.cristin1199758
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.description.localcode© 2016. This is the authors’ accepted and refereed manuscript to the article. 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.unitcode194,64,90,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.unitnameInstitutt for geovitenskap og petroleum
cristin.ispublishedtrue
cristin.fulltextpostprint


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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