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dc.contributor.advisorAamo, Ole Mortennb_NO
dc.contributor.authorBreyholtz, Øyvindnb_NO
dc.date.accessioned2014-12-19T14:02:14Z
dc.date.available2014-12-19T14:02:14Z
dc.date.created2010-09-04nb_NO
dc.date.issued2008nb_NO
dc.identifier348617nb_NO
dc.identifierntnudaim:4051nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/259876
dc.description.abstractDrilling into mature, depleted fields is often difficult because of tight pressure margins. Increasing the pressure control will enable wells that previously were considered undrillable, to be drilled. Enabling drilling and increased oil recovery from depleted fields would most likely lead to a substantial increase in profit margains. A better pressure control will also increase the safety of the drilling crew, because the risk of unwanted situations such as a kick or a blow-out is decreased, also reducing the risk of unwanted environmental influence, e.g. oil spill. To compensate for the lack of a continuous measurement of the bottomhole pressure during drilling operations, an adpative observer of the bottomhole pressure is implemented. The observer implemented is tested, and shows promising results in estimating both the bottomhole pressure and the friction coefficient in the well during a pipe connection procedure. To control the pressure in the well, a low-order nonlinear model predicitve controller is developed, and it has been tested to perform well during the pipe connection procedure, where it maintains the pressure within the predefined boundaries. In this thesis both the obsever and the controller will be tested against an artificial well; simulated by a commercial software.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for teknisk kybernetikknb_NO
dc.subjectntnudaimno_NO
dc.subjectSIE3 teknisk kybernetikkno_NO
dc.subjectReguleringsteknikkno_NO
dc.titleNonlinear Model Predictive Pressure Control during Drilling Operationsnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber90nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for teknisk kybernetikknb_NO


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