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dc.contributor.advisorKleppe, Jonnb_NO
dc.contributor.advisorRwechungura, Richardnb_NO
dc.contributor.authorSolheim, Daniel Aleksandernb_NO
dc.date.accessioned2014-12-19T12:18:04Z
dc.date.available2014-12-19T12:18:04Z
dc.date.created2014-07-12nb_NO
dc.date.issued2014nb_NO
dc.identifier733897nb_NO
dc.identifierntnudaim:10483nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/240311
dc.description.abstractIn this thesis two stochastic algorithms, the Ensemble Smoother (ES) and the Ensem-ble Kalman Filter (EnKF), have been utilized as automatic history matching meth-ods through the Statoil developed program the Ensemble based Reservoir Tool. Sta-toil, through the IO Center at NTNU, provided real historical production and pressuredata. These data was used to condition on a parametrized ECLIPSE reservoir modelof the Norne field. Parameters conditioned on includes the field parameters porosity,i-permeability, net-to-gross, and z-direction transmissibility multiplier, as well as fault multipliers, region transmissibility multipliers, minimum pore volumes and relative permeability endscaling options. The E-segment model and the Full-field model were both studied. With an ensemble size of 120 realizations for the E-Segment model and 80 realizations for the Full-field model, both algorithms performed well. In most of the results an initial high uncertainty in the prior provided the necessary coverage of the historical observed data. Overall the EnKF performed better than the ES, which is natural comparing time and computational power required. Some spurious correlations and one particular ensemble collapse were experienced. The EnKF-analysed ensemble production rates provides a lot less uncertainty than the initial ensemble, and for most plots a slightly better match than the reference case. The EnKF-algorithm is shown to be vulnerable to small ensemble sizes versus large amounts of conditioning parameters, as well as highly correlated historical observations.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for petroleumsteknologi og anvendt geofysikknb_NO
dc.titleHistory matching of the Norne Field using the Ensemble based Reservoir Tool (EnKF/ES)nb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber119nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for ingeniørvitenskap og teknologi, Institutt for petroleumsteknologi og anvendt geofysikknb_NO


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