Vis enkel innførsel

dc.contributor.advisorHolden, Helgenb_NO
dc.contributor.advisorLie, Knut-Andreasnb_NO
dc.contributor.authorStenerud, Vegardnb_NO
dc.date.accessioned2014-12-19T13:29:28Z
dc.date.available2014-12-19T13:29:28Z
dc.date.created2007-11-13nb_NO
dc.date.issued2007nb_NO
dc.identifier122962nb_NO
dc.identifier.isbn978-82-471-4655-2nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/249719
dc.description.abstractThe topic of this thesis is streamline-based integration of dynamic data for porous media systems, particularly in petroleum reservoirs. In the petroleum industry the integration of dynamic data is usually referred to as history matching. The thesis starts out by giving an introduction to streamline-based history-matching methods. Implementations and extensions of two existing methods for streamline-based history matching are then presented. The first method pursued is based on obtaining modifications for streamline-effective properties, which subsequently are propagated to the underlying simulation grid for further iterations. For this method, two improvements are proposed to the original existing method. First, the improved approach involves less approximations, enables matching of porosity, and can account for gravity. Second, a multiscale approach is applied for which the data integration is performed on a hierarchy of coarsened grids. The approach proved robust, and gave a faster and better match to the data. The second method pursued is the so-called generalized travel-time inversion (GTTI) method, which earlier has proven very robust and efficient for history matching. The key to the efficiency of this method is the quasilinear convergence properties and the use of analytic streamline-based sensitivity coefficients. GTTI is applied together with an efficient multiscale-streamline simulator, where the pressure solver is based on a multiscale mixed finite-element method (MsMFEM). To make the history matching more efficient, a selective work-reduction strategy, based on the sensitivities provided by the inversion method, is proposed for the pressure solver. In addition, a method for improved mass conservation in streamline simulation is applied, which requires much fewer streamlines to obtain accurate production-response curves. For a reservoir model with more than one million grid blocks, 69 producers and 32 injectors, the data integration took less than twenty minutes on a standard desktop computer. Finally, we propose an extension of GTTI to fully unstructured grids, where we in particular address issues regarding regularization and computation of sensitivities on unstructured grids with large differences in cell sizes.nb_NO
dc.languageengnb_NO
dc.publisherFakultet for informasjonsteknologi, matematikk og elektroteknikknb_NO
dc.relation.ispartofseriesDoktoravhandlinger ved NTNU, 1503-8181; 2007:211nb_NO
dc.relation.haspartStenerud, Vegard R.; Lie, Knut-Andreas. A Multiscale Streamline Method for Inversion of Production Data. Journal of Petroleum Science and Engineering. 54: 79-92, 2006.nb_NO
dc.subjectStreamlinesen_GB
dc.subjectMultiscaleen_GB
dc.subjectSensitivitiesen_GB
dc.subjectHistory matchingen_GB
dc.subjectInversionen_GB
dc.subjectReservoiren_GB
dc.subjectPetroleumen_GB
dc.subjectMATHEMATICS: Applied mathematicsen_GB
dc.titleMultiscale-Streamline Inversion for High-Resolution Reservoir Modelsnb_NO
dc.typeDoctoral thesisnb_NO
dc.source.pagenumber155nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikknb_NO
dc.description.degreePhD i matematikknb_NO
dc.description.degreePhD in Mathematicsen_GB


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel