Imaged based fractal characterization of micro-fracture structure in coal

被引:73
作者
Wu, Hao [1 ,2 ,3 ]
Zhou, Yingfang [3 ]
Yao, Yanbin [1 ,4 ]
Wu, Kejian [3 ]
机构
[1] China Univ Geosci, Sch Energy Resource, Beijing 100083, Peoples R China
[2] China Univ Geosci, Beijing Key Lab Unconvent Nat Gas Geol Evaluat &, Beijing 100083, Peoples R China
[3] Univ Aberdeen, Sch Engn, Aberdeen AB243UE, Scotland
[4] China Univ Geosci, Coal Reservoir Lab, Natl Engn Res Ctr CBM Dev & Utilizat, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
Fractal dimension; Coal; Micro-CT images; Box-counting method; REV; LOW-FIELD NMR; PORE-FRACTURE; DIMENSION; POROSITY; TOMOGRAPHY; NETWORKS; CT;
D O I
10.1016/j.fuel.2018.10.117
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
To better understand the fractal characteristics of coal fracture network and find the relation between 2D and 3D fractal dimensions, the improved box counting method was utilized to calculate 2D and 3D fractal dimensions based on high resolution CT images of 4 coal samples (R-o from 2.915% to 4.69%). Based on the calculated 2D and 3D fractal dimension, the size of representative element volume (REV), the relationship between D-f2 and D-f3 and the relationship between porosity and fractal dimension were investigated extensively. As the complement of previous theoretical studies, the exponential relationship between porosity and fractal dimension was proved. By deducing formulas based on fractal theory, the ratio of the minimum pore size to the maximum pore size could be obtained. Evidently, the relation between 2D and 3D fractal dimension of coal could be expressed as D-f3 = CDf2 + 1, and the slope of the line, C, depends on the average 2D fractal dimension of the sample.
引用
收藏
页码:53 / 62
页数:10
相关论文
共 45 条
  • [1] Box-counting methods to directly estimate the fractal dimension of a rock surface
    Ai, T.
    Zhang, R.
    Zhou, H. W.
    Pei, J. L.
    [J]. APPLIED SURFACE SCIENCE, 2014, 314 : 610 - 621
  • [2] On the Relations Between 2D and 3D Fractal Dimensions: Theoretical Approach and Clinical Application in Bone Imaging
    Akkari, H.
    Bhouri, I.
    Dubois, P.
    Bedoui, M. H.
    [J]. MATHEMATICAL MODELLING OF NATURAL PHENOMENA, 2008, 3 (06) : 48 - 75
  • [3] [Anonymous], 1983, FRACTAL GEOMETRY NAT
  • [4] MOLECULAR FRACTAL SURFACES
    AVNIR, D
    FARIN, D
    PFEIFER, P
    [J]. NATURE, 1984, 308 (5956) : 261 - 263
  • [5] SMALL-ANGLE X-RAY-SCATTERING INVESTIGATION OF SUBMICROSCOPIC POROSITY WITH FRACTAL PROPERTIES
    BALE, HD
    SCHMIDT, PW
    [J]. PHYSICAL REVIEW LETTERS, 1984, 53 (06) : 596 - 599
  • [6] Barton C., 1995, FRACTALS EARTH SCI
  • [7] Fractal analysis of radiographic trabecular bone texture and bone mineral density: Two complementary parameters related to osteoporotic fractures
    Benhamou, CL
    Poupon, S
    Lespessailles, E
    Loiseau, S
    Jennane, R
    Siroux, V
    Ohley, W
    Pothuaud, L
    [J]. JOURNAL OF BONE AND MINERAL RESEARCH, 2001, 16 (04) : 697 - 704
  • [8] Pore-scale imaging and modelling
    Blunt, Martin J.
    Bijeljic, Branko
    Dong, Hu
    Gharbi, Oussama
    Iglauer, Stefan
    Mostaghimi, Peyman
    Paluszny, Adriana
    Pentland, Christopher
    [J]. ADVANCES IN WATER RESOURCES, 2013, 51 : 197 - 216
  • [9] FRACTAL CHARACTERIZATION OF DYNAMIC FRACTURE NETWORK EXTENSION IN POROUS MEDIA
    Cai, Jianchao
    Wei, Wei
    Hu, Xiangyun
    Liu, Richeng
    Wang, Jinjie
    [J]. FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY, 2017, 25 (02)
  • [10] Recent developments on fractal-based approaches to nanofluids and nanoparticle aggregation
    Cai, Jianchao
    Hu, Xiangyun
    Xiao, Boqi
    Zhou, Yingfang
    Wei, Wei
    [J]. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2017, 105 : 623 - 637