We have analyzed the fractal and multifractal nature of a series of 17
natural fracture trace maps, representing a wide variety of scales, g
eological settings, and lithologies, as well as a number of typical sy
nthetic fracture networks in which fracture locations, orientations, a
nd lengths are drawn from various probability distribution functions.
Recent studies have shown that multifractal methods can be used to inv
estigate fracture networks at greater depth, since the fractal dimensi
on represents only part of the scaling spectrum characterizing each ne
twork. We find that the real and synthetic fracture maps display fract
al and multifractal properties. Moreover, the properties of the synthe
tic networks are very similar to those of the real networks, with nont
rivial fractal dimensions and multifractal spectra. We suggest that di
fferent fracturing mechanisms can lead to two or more distinct subrang
es over which a fractal dimension can be defined, while the heterogene
ity of the rock, and the nature of the fracturing mechanisms, lead to
multifractal properties. We also find that the fractal dimension of a
synthetic fracture network is relatively insensitive to parameters suc
h as fracture length and orientation but can be controlled by appropri
ate choice of the relative fracture density.