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