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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Vydáno v:International journal for numerical and analytical methods in geomechanics Ročník 37; číslo 1; s. 97 - 110
Hlavní autoři: Xu, Zhi, Teng, Qizhi, He, Xiaohai, Li, Zhengji
Médium: Journal Article
Jazyk:angličtina
Vydáno: Chichester Blackwell Publishing Ltd 01.01.2013
Wiley
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Témata:
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
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Shrnutí: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 two‐dimensional (2D) thin sections by using the multiple‐point statistics method. For this method, the size of template is an important parameter that reflects the perceived scale of spatial structure of porous media. In this paper, we take advantage of entropy method to obtain the appropriate size of the template, which is proven to be correct and feasible. The reconstruction method proposed by us combines successive 2D MPS simulations as well as 3D MPS simulation, which takes account into the pore structure information (e.g., heterogeneity and connectivity) both intralayer and interlayer. This reconstruction method is tested on Fontainebleau sandstone for which 3D images from micro‐CT scanning are available. Applying local percolation theory analysis, this new approach can depict the expected patterns of geological heterogeneities. In addition, it also can well reproduce a high degree of connectivity of the pore space better than other reconstruction methods based on lower‐order statistics. Copyright © 2011 John Wiley & Sons, Ltd.
Bibliografie:ark:/67375/WNG-XGQF4RH9-M
ArticleID:NAG1117
istex:28602F6D645101BC4BE46DD07C1265137EB220BA
National Natural Science Foundation - No. 60972130
ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0363-9061
1096-9853
DOI:10.1002/nag.1117