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Multiscale Mixed Methods on Corner-Point grids: Mimetic versus Mixed Subgrid Solvers

Abstract

Multiscale simulation is a promising approach to facilitate direct simulation of large and complex grid-models for highly heterogeneous petroleum reservoirs.  Unlike traditional simulation approaches based on upscaling/downscaling, multiscale methods seek to solve the full flow problem by incorporating sub-scale heterogeneities into local discrete approximation spaces. We consider a multiscale formulation based on a hierarchical grid approach, where basis functions with subgrid resolution are computed numerically to correctly and accurately account for subscale variations from an underlying (fine-scale) geomodel when solving the global flow equations on a coarse grid. By using multiscale basis functions to discretise the global flow equations on a (moderately-sized) coarse grid, one can retain the efficiency of an upscaling method, while at the same time produce detailed and conservative velocity fields on the underlying fine grid.For pressure equations, the multiscale mixed finite-element method (MsMFEM) has shown to be a particularly versatile approach. In this paper we extend the method to corner-point grids, which is the industry standard for modelling complex reservoir geology. We consider two different subsolvers: a mimetic finite difference method on the original corner-point grid and a mixed finite-element method on a tetrahedral subdivision. The versatility and accuracy of the multiscale mixed methodology is demonstrated on two corner-point models: a small Y-shaped sector model and a complex model of a layered sedimentary bed. In particular, we demonstrate how one can avoid the usual difficulties of resampling, when moving from a fine to a coarse grid, and vice versa, since the multiscale mixed formulation allows the cells in the coarse grid to be chosen as an (almost) arbitrary connected collection of cells in the underlying fine grid.

Oppdragsgiver: The Research Council of Norway

Category

Report

Client

  • SINTEF AS / 90A2 1502

Language

English

Author(s)

Affiliation

  • SINTEF Digital / Mathematics and Cybernetics
  • Unknown

Year

2006

Publisher

SINTEF

Issue

A578

ISBN

8214040426

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