Study of 2D Time Domain Plasma Inversion Method based on Conjugate Gradient Method

Author(s):  
Xuejian Feng ◽  
Haochuan Deng ◽  
Xiao Wei ◽  
Xin Li ◽  
Hongcheng Yin
Author(s):  
Jingjun Zhao ◽  
Tao Liu

AbstractIn this paper, the adaptive multigrid conjugate gradient method is applied to the inversion of the space-dependent permeability function in a nonlinear diffusion equation, which plays an important role in promoting the permeability estimation within multiphase porous media flow. The forward problem is discretized using finite-difference methods and the estimation is formulated as a least-square minimization problem with a regularization term. Firstly, the conjugate gradient method for optimization is used to solve this parameter identification problem. Secondly, to reduce the amount of calculation, the idea of multigrid inversion and the necessary condition of “the optimal solution should be the fixed point of multigrid inversion” is considered. Then, by combining the multigrid multiscale method with the conjugate gradient method, a new inversion method called the adaptive multigrid conjugate gradient method is designed. The results of numerical simulations indicate that the proposed method can effectively reduce the required computation burden and have good ability in anti-noise.


2018 ◽  
Vol 26 (5) ◽  
pp. 623-631 ◽  
Author(s):  
Tao Liu

AbstractThis paper considers the problem of estimating the permeability in a nonlinear convection-diffusion equation. To overcome the large calculation burden of conventional methods, we apply an adaptive multigrid conjugate gradient method to solve this inverse problem. This new method combines the multigrid multiscale idea with the conjugate gradient method, and adopts the necessary condition that the optimum solution should be the fixed point of the multigrid inversion method. Some numerical results verify that the proposed method both dramatically reduces the required computations and improves the inversion quality.


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