Open Access
Issue |
E3S Web Conf.
Volume 303, 2021
The 10th Anniversary Russian-Chinese Symposium “Clean Coal Technologies: Mining, Processing, Safety, and Ecology” 2021
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Article Number | 01004 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/e3sconf/202130301004 | |
Published online | 17 September 2021 |
- Yi. Tarasevich, Porous structure and adsorption properties of natural porous coal. Colloids Surfaces A Physicochem Eng Asp, 176:267, 72 (2001) [Google Scholar]
- Z. Qin, New advances in coal structure model. Int J Min Sci Technol, 28:541, 59 (2018) [Google Scholar]
- Cai Y, Li Q, Liu D, Zhou Y, Lv D. Insights into matrix compressibility of coals by mercury intrusion porosimetry and N2 adsorption. Int J Coal Geol, 200, 199–212 (2018) [Google Scholar]
- Qin L., Li S., Zhai C., Lin H., Zhao P., Yan M., et al. Joint analysis of pores in low, intermediate, and high rank coals using mercury intrusion, nitrogen adsorption, and nuclear magnetic resonance. Powder Technol 362:615, 27 (2020) [Google Scholar]
- Saxena N., Hows A., Hofmann R., Alpak FO., Dietderich J., Appel M., et al. Rock properties from micro-CT images: Digital rock transforms for resolution, pore volume, and field of view, Adv Water Resour, 134, 103419 (2019) [Google Scholar]
- Xu H., Wang G., Fan C., Liu X., Wu M.. Grain-scale reconstruction and simulation of coal mechanical deformation and failure behaviors using combined SEM Digital Rock data and DEM simulator, Powder Technol, 360:1305, 20 (2020) [Google Scholar]
- Garnier A., Filoni G., Hrnčíř T., Hladík L., Plasma FIB: Enlarge your field of view and your field of applications, Microelectron Reliab, 55:2135, 41 (2015) [Google Scholar]
- Zhao Y., Sun Y., Liu S., Wang K.., Jiang Y., Pore structure characterization of coal by NMR cryoporometry, 190:359, 69 (2017) [Google Scholar]
- Ni X., Miao J., Lv R., Lin X., Quantitative 3D spatial characterization and flow simulation of coal macropores based on ΜCT technology, 200:199, 207 (2017) [Google Scholar]
- Wang G., Jiang C., Shen J., Han D., Qin X.. Deformation and water transport behaviors study of heterogenous coal using CT-based 3D simulation. Int J Coal Geol., 211, 103204 (2019) [Google Scholar]
- Zhao Y., Wang Z., Ye J., Sun H., Gu J., Lattice Boltzmann simulation of gas flow and permeability prediction in coal fracture networks, J Nat Gas Sci Eng, 53:153, 62 (2018) [Google Scholar]
- G. Wang, J. Shen, X. Chu, C. Cao, C. Jiang. Characterization and analysis of pores and fissures of high-rank coal based on CT three-dimensional reconstruction. J CHINA COAL, 42:2074, 80 (2017) [Google Scholar]
- Zhao Y., Sun Y., Liu S., Chen Z., Yuan L., Pore structure characterization of coal by synchrotron radiation nano-CT. Fuel, 215:102, 10 (2018) [Google Scholar]
- Mayo S., Josh M., Nesterets Y., Esteban L., Pervukhina M., Clennell M Ben, et al., Quantitative micro-porosity characterization using synchrotron micro-CT and xenon K-edge subtraction in sandstones, carbonates, shales and coal, Fuel, 154:167, 73 (2015) [Google Scholar]
- Wang G., Yang X., Zhang X., Xue J., Li W., Establishment of digital coal model using computed tomography based on reverse engineering technology and three-dimensional reconstruction, Rock Soil Mech 36:3322, 44 (2015) [Google Scholar]
- Wang G., Chu X., Yang X. Numerical simulation of gas flow in artificial fracture coal by three-dimensional reconstruction based on computed tomography. J Nat Gas Sci Eng, 34:823, 31 (2016) [Google Scholar]
- Roslin A., Pokrajac D., Zhou Y. Cleat structure analysis and permeability simulation of coal samples based on micro-computed tomography (micro-CT) and scan electron microscopy (SEM) technology, 254, 115579 (2019) [Google Scholar]
- Wang G., Shen J., Liu S., Jiang C., Qin X., Three-dimensional modeling and analysis of macro-pore structure of coal using combined X-ray CT imaging and fractal theory, Int J Rock Mech Min Sci, 123, 104082 (2019) [Google Scholar]
- Heriawan M.N., Koike K., Coal quality related to microfractures identified by CT image analysis. Int J Coal Geol, 140:97, 110 (2015) [Google Scholar]
- Shi X., Pan J., Hou Q., Jin Y., Wang Z., Niu Q., et al., Micrometer-scale fractures in coal related to coal rank based on micro-CT scanning and fractal theory, 212:162, 72 (2018) [Google Scholar]
- Li G., Zhang R, Xu X.L., Zhang Y.F.. CT image reconstruction of coal rock three-dimensional fractures and body fractal dimension under triaxial compression test, Rock Soil Mech, 36:1633, 42 (2015) [Google Scholar]
- Nie B., He X., Li X., Chen W., Hu S., Meso-structures evolution rules of coal fracture with the computerized tomography scanning method. Eng Fail Anal, 41:81, 8 (2014) [Google Scholar]
- J. Zhong, Z. Wang, L. Wang, J. Zhao, W. Ren, H. Zhou. Characteristics of damage evolution of deep coal based on CT three-dimensional reconstruction. J CHINA COAL Soc, 44:1482, 94 (2019) [Google Scholar]
- Zhou H.W., Zhong J.C., Ren W.G., Wang X.Y., Yi H.Y., Characterization of pore-fracture networks and their evolution at various measurement scales in coal samples using X-ray μCT and a fractal method. Int J Coal Geol, 189:35, 49 (2018) [Google Scholar]
- Li Y., Cui H., Zhang P., Wang D., Wei J.. Three-dimensional visualization and quantitative characterization of coal fracture dynamic evolution under uniaxial and triaxial compression based on μCT scanning, Fuel, 262, 116568 (2020) [Google Scholar]
- Wang G., Qin X.J., Jiang C.H., Zhang Z.Y., Seepage and deformation simulation of CT 3D reconstruction of coal microstructure under temperature. Rock Soil Mech, 41:1, 11 (2020) [Google Scholar]
- Wang G., Jiang C., Liu S., Chu X., Shen J., Dynamic simulation of seepage process based on CT 3D reconstruction of coal skeleton structure model. J China Coal Soc, 43:1390, 1399 (2018) [Google Scholar]
- Wang D., Zhang P., Pu H., Wei J., Liu S.. Experimental research on cracking process of coal under temperature variation with industrial micro-CT. Chinese J Rock Mech Eng, 37:10, 2243 (2018) [Google Scholar]
- Wang D., Zhang P., Wei J., Yu C., The seepage properties and permeability enhancement mechanism in coal under temperature shocks during unloading confining pressures, J Nat Gas Sci Eng. 77, 103242 (2020) [Google Scholar]
- Lu Y., Liao Y., Tang J., Zhang X., Han S., Ling Y., Experimental study on fracture initiation pressure and morphology in shale using supercritical CO2 fracturing, Journal China Coal Soc, 43:175, 80 (2017) [Google Scholar]
- Du Y., Sang S., Pan Z., Wang W., Liu S., Fu C., Experimental study of supercritical CO2-H2O-coal interactions and the effect on coal permeability, Fuel, 253:369, 82 (2019) [Google Scholar]
- Xue Y., Si H., Yang Z., Xu D., Microscopic damage field in coal induced by water jets. J Loss Prev Process Ind. 56:300, 15 (2018) [Google Scholar]
- Nguyen T.D, Nguyen A.V., Lin C-L., Miller J.D., Application of high-resolution X-ray microcomputed tomography for coal washability analysis. Miner Eng, 124:137, 48 (2017) [Google Scholar]
- Liu H., Rodrigues S., Shi F., Esterle J., Manlapig E., Coal washability analysis using X-ray tomographic images for different lithotypes, Fuel, 209:162, 71 (2017) [Google Scholar]
- Li Z, Liu D, Cai Y, Ranjith PG, Yao Y. Multi-scale quantitative characterization of 3-D pore-fracture networks in bituminous and anthracite coals using FIB-SEM tomography and X-ray Μ-CT. Fuel, 209:43, 53 (2017) [Google Scholar]
- Lee S., Yu J., Mahoney M., Tremain P., Moghtaderi B., Tahmasebi A., A study on the structural transition in the plastic layer during coking of Australian coking coals using Synchrotron micro-CT and ATR-FTIR., Fuel, 233:877, 84 (2018) [Google Scholar]
- Wu H., Yao Y., Zhou Y., Qiu F., Analyses of representative elementary volume for coal using X-ray Μ-CT and FIB-SEM and its application in permeability predication model, Fuel, 254, 115563 (2019) [Google Scholar]
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