A family of gamma distributions can be used to model the pore size distributions in a range of stochastic porous media. Our simu lator generates distributional and net flow data for different fluid flow regimes through such networks. The outputs from the simu lation show strong relationships between mean flow and the variance of pore radii for turbulent, laminar, molecular and capillary flow. We observe also affine relationships between the coefficient of variation of local flow rate and the variance of pore radii for each of the above flow modes.
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