Many natural porous geological rock formations, as well as engineered
porous structures, have fractal properties, i.e., they are self-simila
r over several length scales. While there have been many experimental
and theoretical studies on how to quantify a fractal porous medium and
on how to determine its fractal dimension, the numerical generation o
f a fractal pore structure with predefined statistical and scaling pro
perties is somewhat scarcer. In the present paper a new numerical meth
od for generating a three-dimensional porous medium with any desired p
robability density function (PDF) and autocorrelation function (ACF) i
s presented. The well-known Turning Bands Method (TBM) is modified to
generate three-dimensional synthetic isotropic and anisotropic porous
media with a Gaussian PDF and exponential-decay ACF. Porous media with
other PDF's and ACF's are constructed with a nonlinear, iterative PDF
and ACF transformation, whereby the arbitrary PDF is converted to an
equivalent Gaussian PDF which is then simulated with the classical TBM
. Employing a new method for the estimation of the surface area for a
given porosity, the fractal dimensions of the surface area of the synt
hetic porous media generated in this way are then measured by classica
l fractal perimeter/area relationships. Different 3D porous media are
simulated by varying the porosity and the correlation structure of the
random field. The performance of the simulations is evaluated by chec
king the ensemble statistics, the mean, variance and ACF of the simula
ted random field. For a porous medium with Gaussian PDF, an average fr
actal dimension of approximately 2.76 is obtained which is in the rang
e of values of actually measured fractal dimensions of molecular surfa
ces. For a porous medium with a non-Gaussian quadratic PDF the calcula
ted fractal dimension appears to be consistently higher and averages 2
.82. The results also show that the fractal dimension is neither stron
gly dependent of the porosity nor of the degree of anisotropy assumed.