摘要
依托渭北煤田韩城矿区煤样,基于压汞技术采用多重分形理论分析构造煤孔径分布的非均质性,计算其多重分形谱f(a),并分析了多重分形参数随变形程度增强的变化规律。结果表明:煤样压汞孔径分布具多重分形特征,但不同类型构造煤孔径分布的多重分形程度存在明显差别。随构造变形增强,f(a)谱由右钩状(碎裂煤)转化为左钩状(碎粒煤、糜棱煤),奇异性指数α0、f(a)谱宽度αq--αq+及左锋宽度α0-αq+升高,说明强烈的脆性变形和韧性变形易使孔隙结构趋于复杂,孔隙团聚特征增强,孔体积高值分布非均质性加大,渗透性变差。α0和α0-αq+可作为区分构造煤孔隙结构差异演化的主要指标。多重分形参数变化可归因于由构造变形增强所引起的孔体积峰值的转变、碎粒孔的产生及显微构造的不均匀分布。
Depending on coal samples of Hancheng mining area in Weibei coalfield, the heterogeneity of pore size distributions （PSDs） of tectonically deformed coals （TDCs） was analyzed based on the mercury injection technology and the multi fraetal theory. The multi- fractal spectraf（α） was calculated and the change law of muhifractal parameters was studied with tectonic deformation degree increas- ing. The results indicated that the PSDs of coals mercury injection exhibited muhifractal characteristics, but the degree of muttifraetality showed significant differences for different TDCs. With the tectonic deformation increasing, thef（α） spectra changed from right hook occurred in cataclastic coals to left hook occurred in granulated coals and mylonitic coals, while values increased, including the singu- larity index α0, the f（α） spectra width （α0-αq＋ ） , and the left side width （α0-αq＋） off（or） spectra, which illustrated that the strong brittle tectonic deformation and the ductile deformation could lead to the complication of pore structure easily, the pore clustering feature enhanced, the heterogeneity of high concentration of pore volume increased and the permeability decreased, ao and α0-αq＋. could be considered as major indexes to distinguish tectonic evolution for PSDs of TDCs. Some factors resulted in the variation of multi- fractal parameters, such as the shift of the maximum peak of pore volume, the generation of granulated pores and the uneven distribu- tion of microstructure.
出处
《煤矿安全》
CAS
北大核心
2016年第1期33-37,共5页
Safety in Coal Mines
基金
国家科技重大专项资助项目(2011ZN05062-009)
关键词
孔隙结构
构造煤
压汞技术
孔径分布
多重分形分析
pores structure
tectonical｜y deformed coals （TDCs）
mercury injection technology
pore size distributions （PSDs）
mul-tifractal analysis
