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Mixed multiscale finite element methods using approximate global information based on partial upscaling

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Abstract

The use of limited global information in multiscale simulations is needed when there is no scale separation. Previous approaches entail fine-scale simulations in the computation of the global information. The computation of the global information is expensive. In this paper, we propose the use of approximate global information based on partial upscaling. A requirement for partial homogenization is to capture long-range (non-local) effects present in the fine-scale solution, while homogenizing some of the smallest scales. The local information at these smallest scales is captured in the computation of basis functions. Thus, the proposed approach allows us to avoid the computations at the scales that can be homogenized. This results in coarser problems for the computation of global fields. We analyze the convergence of the proposed method. Mathematical formalism is introduced, which allows estimating the errors due to small scales that are homogenized. The proposed method is applied to simulate two-phase flows in heterogeneous porous media. Numerical results are presented for various permeability fields, including those generated using two-point correlation functions and channelized permeability fields from the SPE Comparative Project (Christie and Blunt, SPE Reserv Evalu Eng 4:308–317, 2001). We consider simple cases where one can identify the scales that can be homogenized. For more general cases, we suggest the use of upscaling on the coarse grid with the size smaller than the target coarse grid where multiscale basis functions are constructed. This intermediate coarse grid renders a partially upscaled solution that contains essential non-local information. Numerical examples demonstrate that the use of approximate global information provides better accuracy than purely local multiscale methods.

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Authors and Affiliations

  1. College of Mathematics and Computer Science, Hunan Normal University, Changsha, 410081, China

    Lijian Jiang

  2. IMA, University of Minnesota, Minneapolis, MN, 55455, USA

    Lijian Jiang

  3. Department of Mathematics, Texas A&M University, College Station, TX, 77843-3368, USA

    Yalchin Efendiev

  4. Exxonmobil Upstream Research Company, Houston, TX, 77252, USA

    IIya Mishev

Authors
  1. Lijian Jiang
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  2. Yalchin Efendiev
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  3. IIya Mishev
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Correspondence to Lijian Jiang.

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Jiang, L., Efendiev, Y. & Mishev, I. Mixed multiscale finite element methods using approximate global information based on partial upscaling. Comput Geosci 14, 319–341 (2010). https://doi.org/10.1007/s10596-009-9165-7

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