DocumentCode :
535212
Title :
Reconstruction of porous rocks using simulated annealing algorithm
Author :
Jinbo Wang ; Song Wei ; Song Hao ; Dongshuang Zhang ; Yang Ju
Author_Institution :
State Key Lab. of Coal Resources & Safe Min., Beijing, China
Volume :
6
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
2824
Lastpage :
2827
Abstract :
In this paper, reconstruction of porous rocks is investigated by the limited morphological information obtained from computerized tomography (CT) image. A procedure is formulated to reconstruct sandstones´ structure by simulated annealing algorithm (SAA) which is improved on the basis of the methodology developed by Rintoul and Torquato. This procedure has the advantage that it is simple to implement and generally applicable to multiphase and anisotropic structures. In our work, using n-point probability function as the dominant condition, we consider reconstructions of a variety of two-dimensional (2D) structures, including chessboard model and sandstone samples with different porosity and geometric properties. We find that there is remarkable coherence between the reconstruction system and the reference system through statistical analysis.
Keywords :
computerised tomography; geophysics computing; image reconstruction; porosity; porous materials; rocks; simulated annealing; statistical analysis; anisotropic structures; chessboard model; computerized tomography image; geometric properties; limited morphological information; n-point probability function; porosity properties; porous rocks reconstruction; remarkable coherence; sandstones structure reconstruction; simulated annealing algorithm; statistical analysis; two-dimensional structures; Computational modeling; Computed tomography; Correlation; Image reconstruction; Microstructure; Pixel; Simulated annealing; CT image; n-point probability function; porous rocks; reconstruction; simulated annealing algorithem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
Type :
conf
DOI :
10.1109/CISP.2010.5647335
Filename :
5647335
Link To Document :
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