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Karl Sabelfeld, Dmitry Kolyukhin
Stochastic Eulerian model for the flow simulation in porous media
Keywords: Hydraulic conductivity, Lognormal random field, small fluctuation, Darcy law, randomized spectral representation
This work deals with the stochastic flow simulation in statistically isotropic and anisotropic saturated porous media in 3D case. The hydraulic conductivity is assumed to be a random field with lognormal distribution. Under the assumption of smallness of fluctuations in the hydraulic conductivity we construct a stochastic Eulerian model for the incompressible flow as a divergenceless Gaussian random field with a spectral tensor of a special structure derived from Darcy's law. A randomized spectral representation is then used to simulate this random field. Numerical results are compared with the analytical results obtained by the small pertrubation expansion. A series of test calculations confirmed the high accuracy and computational efficiency of the method. Comparisons with asymptotically exact results show a good agreement.
Monte Carlo Methods and Applications, Walter de Gruyter
Print ISSN: 0929-9629
Volume: 9, 09/2003
Pages: 271 - 290