Connectivity aspects of fracture networks are analyzed in terms of per
colation theory. These aspects are of fundamental importance in charac
terization, exploitation, and management of fractured formations. Gene
ral connectivity and power law relationships are determined that chara
cterize the density of fractures and average number of intersections p
er fracture necessary to ensure network connectivity, the likelihood o
f a fractured formation being hydraulically connected, and the probabi
lity that any specific fracture is connected to the conducting portion
of the network. Monte Carlo experiments with a two-dimensional fractu
re network model confirm the percolation theory predictions. These rel
ationships may prove useful in formulating theoretically tractable app
roximations of fracture networks that capture the essential system pro
perties.