NDLI: A reconstruction method of porous media integrating soft data with hard data

Content Provider	Springer Nature Link
Author	Lu, DeTang Zhang, Ting Yang, JiaQing Li, DaoLun Kong, XiangYan
Copyright Year	2009
Abstract	The three-dimensional reconstruction of porous media is of great significance to the research of mechanisms of fluid flow. The real three-dimensional structural data of porous media are helpful to describe the irregular topologic structures in porous media. The reconstruction of porous media will be inaccurate while only hard data or no conditional data are available. Reconstructed results can be more accurate, using soft data during reconstruction. Integrating soft data with hard data, a method based on multiple-point geostatistics (MPS) is proposed to reconstruct three-dimensional structures of porous media. The variogram curves and permeability, computed by lattice Boltzmann method (LBM), of the reconstructed images and the target image obtained from real volume data were compared, showing that the structural characteristics of reconstructed porous media using both soft data and hard data as conditional data are most similar to those of real volume data.
Starting Page	1876
Ending Page	1885
Page Count	10
File Format	PDF
ISSN	10016538
Journal	Chinese Science Bulletin
Volume Number	54
Issue Number	11
e-ISSN	18619541
Language	English
Publisher	SP Science in China Press
Publisher Date	2009-06-02
Publisher Place	Heidelberg
Access Restriction	Subscribed
Subject Keyword	multiple-point geostatistics porous media reconstruction hard data soft data Engineering Earth Sciences Chemistry/Food Science Physics Life Sciences Science
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

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