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dc.contributor.authorNikoofard, Amirhossein
dc.contributor.authorJohansen, Tor Arne
dc.contributor.authorKaasa, Glenn-Ole
dc.date.accessioned2017-12-11T09:08:46Z
dc.date.available2017-12-11T09:08:46Z
dc.date.created2015-12-21T10:20:31Z
dc.date.issued2015
dc.identifier.citationIFAC-PapersOnLine. 2015, 48 (8), 69-75.nb_NO
dc.identifier.issn2405-8963
dc.identifier.urihttp://hdl.handle.net/11250/2469886
dc.description.abstractA distributed drift-flux model and a low-order lumped model describing a multiphase (gas-liquid) flow in the well during Under-Balanced Drilling (UBD) has been presented. This paper presents a novel nonlinear adaptive observer to estimate the total mass of gas and liquid in the annulus and production constant of gas and liquid from the reservoir into the well during UBD operations. Furthermore, it describes a joint unscented Kalman filter to estimate parameters and states for both the distributed drift-flux and lumped model by using real-time measurements of the choke and the bottom-hole pressures. The performance of the adaptive observers are evaluated for typical drilling scenarios. The results show that all adaptive observers are capable of identifying the production index, although the adaptive observers based on the low-order lumped model achieves better convergence rate than adaptive observer based on the drift-flux model. The results show that the LOL model is sufficient for the purpose of estimating the production parameters.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleEvaluation of Lyapunov-based adaptive observer using low-order lumped model for estimation of production index in Under-Balanced Drillingnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber69-75nb_NO
dc.source.volume48nb_NO
dc.source.journalIFAC-PapersOnLinenb_NO
dc.source.issue8nb_NO
dc.identifier.doi10.1016/j.ifacol.2015.08.159
dc.identifier.cristin1303148
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.relation.projectNorges forskningsråd: 210432nb_NO
dc.description.localcodeThis is the authors' accepted and refereed manuscript to the article.nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpostprint
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