Analysis of Entropy as Numerical Error Indicator in Reservoir Simulation, M.Sc. Thesis Sharif University of Technology ; Ghotbi, Cyrus (Supervisor) ; Razvan, Mohammad Reza (Co-Advisor)
Abstract
Reservoir simulation models are profound tools in reservoir management. Number of grid blocks in a simulation model is much less than the number of grid blocks in geological model, therefore geological model must become upscaled in order to construct simulation model with convenient dimensions. This causes loosing of some details and introduces errors due to discretization and homogenization. One method of construction of an efficient computational grid is use of adaptive mesh refinement (AMR) methods. These methods refine computational grid in regions needing further resolution. An error indicator is used for determining regions candidate for refinement or coarsening. In present study...
Cataloging briefAnalysis of Entropy as Numerical Error Indicator in Reservoir Simulation, M.Sc. Thesis Sharif University of Technology ; Ghotbi, Cyrus (Supervisor) ; Razvan, Mohammad Reza (Co-Advisor)
Abstract
Reservoir simulation models are profound tools in reservoir management. Number of grid blocks in a simulation model is much less than the number of grid blocks in geological model, therefore geological model must become upscaled in order to construct simulation model with convenient dimensions. This causes loosing of some details and introduces errors due to discretization and homogenization. One method of construction of an efficient computational grid is use of adaptive mesh refinement (AMR) methods. These methods refine computational grid in regions needing further resolution. An error indicator is used for determining regions candidate for refinement or coarsening. In present study...
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