A reconstruction method for three-dimensional pore space using multiple-point geology statistic based on statistical pattern recognition and microstructure characterization

SUMMARY To predict the macroscopic properties (e.g., transport, electromagnetic, and mechanical properties) of porous media, it is necessary to have a three‐dimensional (3D) representation of porous media. We reconstruct the geologically realistic 3D structure of Fontainebleau sandstone based on the...

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Bibliographic Details
Published in:	International journal for numerical and analytical methods in geomechanics Vol. 37; no. 1; pp. 97 - 110
Main Authors:	Xu, Zhi, Teng, Qizhi, He, Xiaohai, Li, Zhengji
Format:	Journal Article
Language:	English
Published:	Chichester Blackwell Publishing Ltd 01.01.2013 Wiley Wiley Subscription Services, Inc
Subjects:	3D reconstruction Applied sciences Buildings. Public works Exact sciences and technology Geology Geotechnics Heterogeneity local percolation theory Mathematical models Media MPS Pattern recognition Porosity Porous media Reconstruction Sandstone Soil investigations. Testing Statistics Strength of materials (elasticity, plasticity, buckling, etc.) Structural analysis. Stresses template select algorithm Three dimensional training image Two dimensional Reconstruction Sand Geology Pore structure Porous medium local percolation theory Modeling Statistics MPS Image analysis Experimental result 3D reconstruction Three dimensional representation template select algorithm Percolation Porosity training image porous media
ISSN:	0363-9061, 1096-9853
Online Access:	Get full text
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