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dc.contributor.advisorFoss, Bjarne Antonnb_NO
dc.contributor.advisorJensen, John Petternb_NO
dc.contributor.authorBorgesen, Jørgen Frenkennb_NO
dc.date.accessioned2014-12-19T14:02:21Z
dc.date.available2014-12-19T14:02:21Z
dc.date.created2010-09-04nb_NO
dc.date.issued2009nb_NO
dc.identifier348886nb_NO
dc.identifierntnudaim:4507nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/259927
dc.description.abstractThe purpose of this thesis was to study the use of adjoint methods for gradient calculations in Model Predictive Control (MPC) applications. The goal was to find and test efficient optimization methods to use in MPC on oil reservoir models. Handling output constraints in the optimization problem has been studied closer since they deteriorate the efficiency of the MPC applications greatly. Adjoint- and finite difference approaches for gradient calculations was tested on reservoir models to determine there efficiency on this particular type of problem. Techniques for reducing the number of output constraints was also utilized to decrease the computation time further. The results of this study shows us that adjoint methods can decrease the computation time for reservoir simulations greatly. Combining the adjoint methods with techniques that reduces the number of output constraints can reduce the computation time even more. Adjoint methods require some more work in the modeling process, but the simulation time can be greatly reduced. The principal conclusion is that more specialized optimization algorithms can reduce the simulation time for reservoir models.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for teknisk kybernetikknb_NO
dc.subjectntnudaimno_NO
dc.subjectSIE3 teknisk kybernetikkno_NO
dc.subjectReguleringsteknikkno_NO
dc.titleEfficient optimization for Model Predictive Control in reservoir modelsnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber70nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for teknisk kybernetikknb_NO


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