Numerical modeling of macrodispersion in heterogeneous media: a comparison of multi-Gassian and non-multi-Gaussian models

摘要

The macrodispersion of an inert solute in a 2-D heterogeneous porous media is estimated numerically in a series of fields of varying heterogeneity. Four different random function(RF) models are used to model log-transmissivity(ln T)spatial variability, and for each of these Gaussian histogram and the same isotropic covariance, but different from one another in terms of the Spatial connectivity patterns at extreme transmissivity values. More specifically model A is a Multivariate Gaussian model for which, by definition, extreme values(both high and low)are Spatially uncorrelated.