An Improved Reconstruction Method for Porous Media Based on Multiple-point Geostatistics

The three-dimensional reconstruction of porous media is of great significance to the research of mechanisms of fluid flow in porous media. The real three-dimensional structural data of porous media are helpful to describe the irregular topologic structures quantificationally in porous media, so a method using real volume data and multiple-point geostatistics to reconstruct three-dimensional structures of porous media is proposed. A 3D training image of porous media is generated from volume data obtained by micro-CT scanning with the resolution of micron. According to the probability of each pattern occurring in the three-dimensional training image, states of pixels to be simulated are drawn and the topologic structures of porous media can be predicted by using MPS. This method is tested on the three-dimensional reconstruction of sandstone. Experimental results show that the reconstructed porous structures are similar to those of real volume data.