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A nonlinear multigrid method for inverse problem in the multiphase porous media flow

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  • Liu, Tao

Abstract

In this paper, we consider a parameter identification problem for the nonlinear convection–diffusion equation in the multiphase porous media flow. A nonlinear multigrid method is proposed for the recovery of permeability. This method works by dynamically adjusting the objective functionals at different grids so that they are consistent with each other, and ultimately reduce, the finest grid objective functional. In this manner, the nonlinear multigrid method can efficiently compute the solution to a desired fine grid inverse problem. Numerical results illustrate that the proposed multigrid approach both dramatically reduces the required computation and improves the reconstructed image quality.

Suggested Citation

  • Liu, Tao, 2018. "A nonlinear multigrid method for inverse problem in the multiphase porous media flow," Applied Mathematics and Computation, Elsevier, vol. 320(C), pages 271-281.
    • Handle: RePEc:eee:apmaco:v:320:y:2018:i:c:p:271-281
    DOI: 10.1016/j.amc.2017.09.039
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    References listed on IDEAS

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    1. Liu, Tao, 2016. "Reconstruction of a permeability field with the wavelet multiscale–homotopy method for a nonlinear convection–diffusion equation," Applied Mathematics and Computation, Elsevier, vol. 275(C), pages 432-437.
    2. Choi, Yongho & Jeong, Darae & Kim, Junseok, 2017. "A multigrid solution for the Cahn–Hilliard equation on nonuniform grids," Applied Mathematics and Computation, Elsevier, vol. 293(C), pages 320-333.
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    Cited by:

    1. Tao Liu & Di Ouyang & Lianjun Guo & Ruofeng Qiu & Yunfei Qi & Wu Xie & Qiang Ma & Chao Liu, 2023. "Combination of Multigrid with Constraint Data for Inverse Problem of Nonlinear Diffusion Equation," Mathematics, MDPI, vol. 11(13), pages 1-15, June.

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