The statistical reconstruction of lattice models of real porous media
is one of the basic engineering problems in the theory of porous struc
ture and has a variety of applications in the study of transport in mi
neral processing, and in material characterization. A systematic analy
sis of the reconstruction problem of porous media is presented, as wel
l as a closed-form solution. The solution is presented in the form of
a linear filter acting on Gaussian processes by means of a superpositi
on of elementary correlated processes with prescribed correlation prop
erties, and in the form of a memoryless process recalling the theory o
f Khinchin on the properties of correlation functions. The connection
of this approach with models of correlated percolation is also discuss
ed.