Iteratively coupled reservoir simulation for multiphase flow in porous media

dc.contributor.advisorWheeler, Mary F. (Mary Fanett)en
dc.creatorLu, Bo, 1979-en
dc.date.accessioned2008-08-29T00:16:29Zen
dc.date.available2008-08-29T00:16:29Zen
dc.date.issued2008-05en
dc.descriptiontexten
dc.description.abstractFully implicit and IMPES are two primary reservoir simulation schemes that are currently used widely. However, neither of them is sufficiently accurate or ef- ficient, given the increasing size and degree of complexity of highly heterogeneous reservoirs. In this dissertation, an iterative coupling approach is proposed and developed to solve multiphase flow problems targeting the efficient, robust and accurate simulation of the hydrocarbon recovery process. In the iterative coupling approach, the pressure equation is solved implicitly, followed by the saturation equation, which is solved semi-implicitly. These two stages are iteratively coupled at the end of each time step by evaluating material balance, both locally and globally, to check the convergence of each iteration. Additional iterations are conducted, if necessary; otherwise the simulation proceeds to the next time step. Several numerical techniques are incorporated to speed up the program convergence and cut down the number of iterations per time step, thus greatly improving iterative model performance. The iterative air-water model, the oil-water model, and the black oil model are all developed in this work. Several numerical examples have been tested using the iterative approach, the fully implicit method, and the IMPES method. Results show that with the iterative method, about 20%-40% of simulation time is saved when compared to the fully implicit method with similar accuracy. As compared to the IMPES method, the iterative method shows better stability, allowing larger time steps in simulation. The iterative method also produces better mass balance than IMPES over the same time. The iterative method is developed for parallel implementation, and several test cases have been run on parallel clusters with large numbers of processors. Good parallel scalability enables the iterative method to solve large problems with millions of elements and highly heterogeneous reservoir properties. Linear solvers take the greatest portion of CPU time in reservoir simulations. This dissertation investigates advanced linear solvers for high performance computers (HPC) for reservoir simulation. Their performance is compared and discussed.
dc.description.departmentPetroleum and Geosystems Engineeringen
dc.format.mediumelectronicen
dc.identifierb70660785en
dc.identifier.oclc243473259en
dc.identifier.urihttp://hdl.handle.net/2152/3880en
dc.language.isoengen
dc.rightsCopyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.en
dc.subject.lcshHydrocarbon reservoirs--Simulation methodsen
dc.subject.lcshMultiphase flowen
dc.subject.lcshPorous materialsen
dc.subject.lcshFluid dynamicsen
dc.subject.lcshSecondary recovery of oilen
dc.titleIteratively coupled reservoir simulation for multiphase flow in porous mediaen
dc.type.genreThesisen
thesis.degree.departmentPetroleum and Geosystems Engineeringen
thesis.degree.disciplinePetroleum Engineeringen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen

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