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dc.contributor.authorBerg, Christian
dc.contributor.authorStakvik, Jon Åge
dc.contributor.authorLie, Bernt
dc.contributor.authorVågsæther, Knut
dc.contributor.authorKaasa, Glenn-Ole
dc.date.accessioned2020-02-19T10:13:24Z
dc.date.available2020-02-19T10:13:24Z
dc.date.created2020-01-21T11:11:03Z
dc.date.issued2019
dc.identifier.citationLinköping Electronic Conference Proceedings. 2019, (170), 91-98.nb_NO
dc.identifier.issn1650-3686
dc.identifier.urihttp://hdl.handle.net/11250/2642520
dc.description.abstractDrilling for oil and gas is a complex process, involving pumping of fluid through kilometers of pipes. Even though the drilling fluid has a high speed of sound (˜1000 m/s), the large lengths involved make pressure wave propagation significant in timescales where such phenomena can usually be neglected in other processes. Managed pressure drilling, a technological extension of conventional drilling, adds a choke on the return flow from the drilling process. Significant work has been done in recent years on creating a simplified model of the process, often by neglecting distributed dynamics, and using this for controller design. This paper compares the simplified model most often used, with a distributed partial differential equation (PDE) model and compare the performance with measured data for wave propagation while doing managed pressure drilling. Fluid structure interaction and theoretical vs recorded speed of sound are discussed.nb_NO
dc.language.isoengnb_NO
dc.publisherLinköping University Electronic Press, Linköpings universitetnb_NO
dc.relation.urihttp://www.ep.liu.se/ecp/170/014/ecp19170014.pdf
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.no*
dc.titlePressure wave propagation in Managed Pressure Drilling- model comparison with real life datanb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber91-98nb_NO
dc.source.journalLinköping Electronic Conference Proceedingsnb_NO
dc.source.issue170nb_NO
dc.identifier.doi10.3384/ecp2017091
dc.identifier.cristin1779024
dc.description.localcode© 2019 The Authors. Published by Linköping University Electronic Press, Linköpings universitet. This is an open access article under the CC BY-NC 4.0 license (https://creativecommons.org/licenses/by-nc/4.0/)nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse-Ikkekommersiell 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse-Ikkekommersiell 4.0 Internasjonal