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dc.contributor.authorJinasena, Asanthi
dc.contributor.authorHolta, Haavard H. F.
dc.contributor.authorJondahl, Morten Hansen
dc.contributor.authorWelahettige, Prasanna Kumara Welahetti
dc.contributor.authorAamo, Ole Morten
dc.contributor.authorSharma, Roshan
dc.contributor.authorViumdal, Håkon
dc.contributor.authorLie, Bernt
dc.date.accessioned2021-07-26T07:39:17Z
dc.date.available2021-07-26T07:39:17Z
dc.date.created2020-12-15T15:08:23Z
dc.date.issued2020
dc.identifier.citationMejer, W., & Winkler, D. (2020). Modelling of Water Levels in a Reservoir using Modelica. In Proceedings of The 61st SIMS Conference on Simulation and Modelling SIMS 2020 - Linköping Electronic Conference Proceedings, 176(16).en_US
dc.identifier.issn1650-3686
dc.identifier.urihttps://hdl.handle.net/11250/2765226
dc.description.abstractEarly kick/loss detection is a crucial part of safe well control, and it plays a major role in the reduction of risk and non-productive time in drilling. In conventional drilling, topside sensing is used for early kick/loss detection. Recently, Venturi flowmeter based online return flow estimation has been introduced for this purpose by the authors. In managed pressure drilling, both topside sensing and bottomside sensing can be used for kick/loss detection. Therefore, a topside return flow estimator with a bottomside well pressure and flow estimator is combined to provide a complete kick/loss detection and estimation scheme for managed pressure drilling systems. This allows improved kick/loss detection. In addition, a closed-loop kick/loss attenuation controller is used to illustrate the estimation scheme.en_US
dc.language.isoengen_US
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.no*
dc.titleModel Based Early Kick/Loss Detection and Attenuation with Topside Sensing in Managed Pressure Drillingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© The Author(s) 2020.en_US
dc.source.volume176en_US
dc.source.journalLinköping Electronic Conference Proceedingsen_US
dc.source.issue16en_US
dc.identifier.doihttps://doi.org/10.3384/ecp20176116
dc.identifier.cristin1860123
dc.relation.projectNorges forskningsråd: 255348en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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