DocumentCode
2132051
Title
Fractal dimension analysis on pore structure of artificial cores using magnetic resonance imaging
Author
Wang, Heming ; Liu, Yu ; Song, Yongchen ; Zhao, Yuechao ; Zhao, Jiafei
Author_Institution
Key Lab. of Ocean Energy Utilization & Energy Conservation of Minist. of Educ., Dalian Univ. of Technol., Dalian, China
fYear
2012
fDate
21-23 April 2012
Firstpage
2593
Lastpage
2596
Abstract
Fractal theory, which builds a bridge between micro-morphology and macro-performance, is an effective method for characterizing the complexity of pore-structure which has irregularity. In this paper, the fractal dimension calculated by box-counting method based on fractal theory is applied to characterizing the pore structure. The microstructure or pore distribution in porous materials is obtained by using the nuclear magnetic resonance imaging (MRI). Four artificial cores (R1, R3, R4, and R5) are selected as the experimental materials to investigate the relationship between porosity, permeability of artificial cores and fractal dimension. The results indicate that the fractal dimension can be used to distinguish the different kinds of artificial cores. Furthermore, the relationship between porosity, permeability and fractal dimension can be expressed by the model of D = a - bln(x + c).
Keywords
biomedical MRI; medical image processing; porous materials; artificial cores; box-counting method; fractal dimension analysis; fractal theory; micro-morphology; nuclear magnetic resonance imaging; pore distribution microstructure; pore structure; pore-structure complexity; porous materials; Fractals; Gray-scale; Magnetic cores; Magnetic resonance imaging; Materials; Permeability; Rocks; artificial cores; fractal dimension; magnetic resonance imaging; porous structure;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location
Yichang
Print_ISBN
978-1-4577-1414-6
Type
conf
DOI
10.1109/CECNet.2012.6202182
Filename
6202182
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