Relating the transport properties of rocks to their pore structure has been a long-term goal of great interest to petroleum
engineers, hydrologists, and other earth scientists. This problem can be addressed at various levels of detail, with the resulting models requiring varying amounts of microstructural data. The empirical
permeability models such as Kozeny-Carman predict values of the permeability using knowledge only of porosity and a characteristic length such as the mean pore diameter, mean grain size, or specific surface. At the other approach of complexity lie those models that attempt to reconstruct the pore space of a rock, and then numerically solve the Navier-Stokes equations in the pore space. We present results for predicting permeability of the full three-dimensional porous media. The method consists of two key components,
reconstruction of three-dimensional porous rock from two-dimensional thin sections and three-dimensional flow simulation using the Lattice-Boltzmann technique. We construct three-dimensional porous rock using serial sectioning method and Monte Carlo method. The last method is used with conditional data and input two-point correlation functions from thin sections. Permeability is then estimated through flow simulation on the reconstructed porous media by solving the Navier-Stokes Equations. The result shows that the reconstructed porous media have anisotropy permeability properties and agreed very well with empirical statement from Cozeny Karman law.