Title :
Porous Media Reconstruction Using a Cross-Section Image and Multiple-Point Geostatistics
Author :
Zhang, Ting ; Lu, Detang ; Li, Daolun
Author_Institution :
Dept. of Modern Mech., Univ. of Sci. & Technol. of China, Hefei
Abstract :
Multiple-point geostatistics has been proved to be a powerful tool to capture curvilinear structures or complex features in training images. The three-dimensional reconstruction of porous media is of great significance to the research of mechanisms of fluid flow in porous media. A method using a cross-section image and multiple-point geostatistics to reconstruct the three-dimensional structures of porous media is proposed. A cross-section image of porous media with the resolution of micron is used as an original training image. Using multiple-point geostatistics and extracted sample points, each reconstructed image is taken as a new training image to reconstruct its next layer. Stacking all the reconstructed layers successively, a three-dimensional image of porous media is generated. This method is tested on the three-dimensional reconstruction of sandstone. The structures of porous media reconstructed through this method are similar to those of real volume data obtained by micro-CT scanning.
Keywords :
data visualisation; flow through porous media; flow visualisation; geophysics computing; image recognition; cross-section image; curvilinear structures; fluid flow; multiple-point geostatistics; porous media reconstruction; Geologic measurements; Image generation; Image reconstruction; Image resolution; Interpolation; Statistics; Stochastic processes; Testing; X-ray imaging; X-ray lasers;
Conference_Titel :
Advanced Computer Control, 2009. ICACC '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3330-8
DOI :
10.1109/ICACC.2009.33