Characteristics of Pore and Fracture of Coal with Bursting Proneness Based on DIC and Fractal Theory

被引:22
作者
Li, Yutao [1 ]
Zhao, Yixin [2 ,3 ]
Jiang, Yaodong [1 ]
Zhang, Bo [4 ]
Song, Honghua [2 ]
Liu, Bin [2 ]
机构
[1] China Univ Min & Technol Beijing, Sch Mech & Civil Engn, Beijing 100083, Peoples R China
[2] China Univ Min & Technol Beijing, Sch Energy & Min Engn, Beijing 100083, Peoples R China
[3] China Univ Min & Technol Beijing, Beijing Key Lab Precise Min Intergrown Energy & R, Beijing 100083, Peoples R China
[4] Tsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
bursting proneness; pore and fracture; fractal dimension; digital image correlation (DIC); positive correlation; NUCLEAR-MAGNETIC-RESONANCE; SIZE DISTRIBUTION; GAS-ADSORPTION; MULTIFRACTAL ANALYSIS; COMPUTED-TOMOGRAPHY; DIMENSION; POROSITY; CT; SAXS; AREA;
D O I
10.3390/en13205404
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
Coal is a complex heterogeneous and anisotropic material conformed with fractal characteristics. The pore and fracture characteristics have important influence on the dynamic disasters including rock burst and gas outburst, however, the relationship between them is not accurately investigated due to inadequate research method. The pore and fracture distribution of coal with different bursting proneness were obtained by comprehensive application of MIP, LTNAD, SEM, and X-ray CT, and then fractal theory and DIC were used to research the pore and fracture characteristics. The result indicated that the modification of MIP result by LTNAD result could effectively eliminate the adverse effect of coal matrix compressibility, exactly reflect the distribution of pore and fracture in coal, and the pore distribution of coal with different bursting proneness were quite different. Gray scale image from SEM and 3D reconstruction technology based on X-ray CT could show the geological structure, fracture structure, and pore structure characteristics of coal. The study of LTNAD, SEM, and X-ray CT showed that these methods complemented each other, the coal had fractal properties, and the fractal dimension value had a positive correlation with the bursting proneness of coal sample.
引用
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页数:19
相关论文
共 51 条
[1]   Organism-sediment interactions in shale-hydrocarbon reservoir facies - Three-dimensional reconstruction of complex ichnofabric geometries and pore-networks [J].
Bednarz, Malgorzata ;
McIlroy, Duncan .
INTERNATIONAL JOURNAL OF COAL GEOLOGY, 2015, 150 :238-251
[2]   Characterization of tight gas reservoir pore structure using USANS/SANS and gas adsorption analysis [J].
Clarkson, C. R. ;
Freeman, M. ;
He, L. ;
Agamalian, M. ;
Melnichenko, Y. B. ;
Mastalerz, M. ;
Bustin, R. M. ;
Radlinski, A. P. ;
Blach, T. P. .
FUEL, 2012, 95 (01) :371-385
[3]   Molecular simulation and experimental characterization of the nanoporous structures of coal and gas shale [J].
Firouzi, Mahnaz ;
Rupp, Erik C. ;
Liu, Corey W. ;
Wilcox, Jennifer .
INTERNATIONAL JOURNAL OF COAL GEOLOGY, 2014, 121 :123-128
[4]   Characteristics of pore structure and fractal dimension of low-rank coal: A case study of Lower Jurassic Xishanyao coal in the southern Junggar Basin, NW China [J].
Fu, Haijiao ;
Tang, Dazhen ;
Xu, Ting ;
Xu, Hao ;
Tao, Shu ;
Li, Song ;
Yin, ZhenYong ;
Chen, Baoli ;
Zhang, Cheng ;
Wang, Linlin .
FUEL, 2017, 193 :254-264
[5]   NATURE OF POROSITY IN AMERICAN COALS [J].
GAN, H ;
WALKER, PL ;
NANDI, SP .
FUEL, 1972, 51 (04) :272-&
[6]  
Guan J., 1999, J N CHINA I WATER CO, P1, DOI [10.5860/choice.41-2927.14, DOI 10.5860/CHOICE.41-2927.14]
[7]   A study on fractal characteristics of lacustrine shales of Qingshankou Formation in the Songliao Basin, northeast China using nitrogen adsorption and mercury injection methods [J].
Han, Hui ;
Guo, Chen ;
Zhong, Ning-ning ;
Pang, Peng ;
Gao, Yuan .
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2020, 193
[8]   Adsorption and gas transport in coal microstructure: investigation and evaluation by quantitative X-ray CT imaging [J].
Karacan, CO ;
Okandan, E .
FUEL, 2001, 80 (04) :509-520
[9]   Stochastic modeling of coal fracture network by direct use of micro-computed tomography images [J].
Karimpouli, Sadegh ;
Tahmasebi, Pejman ;
Ramandi, Hamed Lamei ;
Mostaghimi, Peyman ;
Saadatfar, Mohammad .
INTERNATIONAL JOURNAL OF COAL GEOLOGY, 2017, 179 :153-163
[10]   Analysis of cement-bonded materials by multi-cycle mercury intrusion and nitrogen sorption [J].
Kaufmann, Josef ;
Loser, Roman ;
Leemann, Andreas .
JOURNAL OF COLLOID AND INTERFACE SCIENCE, 2009, 336 (02) :730-737