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郝晋伟, 李阳. 构造煤孔隙结构多尺度分形表征及影响因素研究[J]. 煤炭科学技术, 2020, 48(8): 164-174.
引用本文: 郝晋伟, 李阳. 构造煤孔隙结构多尺度分形表征及影响因素研究[J]. 煤炭科学技术, 2020, 48(8): 164-174.
HAO Jinwei, LI Yang. Research on multi-scale fractal characteristics of pore structure in tectonic coal and analysis of its influence factors[J]. COAL SCIENCE AND TECHNOLOGY, 2020, 48(8): 164-174.
Citation: HAO Jinwei, LI Yang. Research on multi-scale fractal characteristics of pore structure in tectonic coal and analysis of its influence factors[J]. COAL SCIENCE AND TECHNOLOGY, 2020, 48(8): 164-174.

构造煤孔隙结构多尺度分形表征及影响因素研究

Research on multi-scale fractal characteristics of pore structure in tectonic coal and analysis of its influence factors

  • 摘要: 构造煤的孔隙结构具有非均质性、自相似性及标度不变性等分形特征,难以用传统的欧式几何方法对其孔隙特征进行定量描述。为了研究构造煤不同尺度孔隙结构的分形特征及表征方法,采用低温CO2吸附法、低温N2吸附法和压汞法等分别测试了4种试验煤样(原生结构煤、碎裂煤、碎粒煤和糜棱煤)的微孔、介孔及大孔孔隙结构,分析了构造煤中不同尺度孔隙的分形特征,探讨了构造煤孔隙结构多尺度分形特征综合表征方法,运用灰色关联方法研究了构造煤孔隙分形维数的影响因素。研究结果表明:基于CO2吸附数据的微孔填充模型、基于N2吸附数据的FHH模型和基于压汞数据的热力学模型分别能够对构造煤微孔、介孔和大孔孔隙的分形特征进行有效表征,不同尺度孔隙的分形维数随构造煤类型变化的规律不同,其中微孔分形维数及介孔中2~6 nm孔径段的分形维数随构造煤的破坏程度增大而增高,其余尺度孔隙的分形维数变化则没有明显规律。以阶段孔容比例为权重,对构造煤不同尺度的孔隙分形维数进行加权计算,即得构造煤多尺度综合分形维数,其能够反映不同尺度孔隙的分形特征,表现为多尺度综合分形维数随构造煤变形程度的增强而增大。根据灰色关联度排序,中值孔径、微孔孔容、总比表面积、微孔比表面积等因素对分形维数的影响最大,最可几孔径、总孔容、介孔比表面积、微孔比表面积比例等因素次之,灰分、挥发分、介孔孔容、介孔比表面积比例等因素对分形维数的影响相对较小。

     

    Abstract: The pore structure of tectonic coal has fractal characteristics,such as inhomogeneity,self-similarity and scale invariance.Therefore,it is difficult to quantitatively describe the pore features by traditional European geometry.In order to study the fractal characteristics and characterization methods of different scales pore structure of tectonic coals,the microporous,mesoporous and macroporous pore structures of four test samples(primary tectonic coal,fragmented coal,granulated coal and mylonitized coal) were tested by low temperature CO2 adsorption,low temperature N2 adsorption and mercury intrusion method,respectively.The method of calculating the fractal dimension of pores of different scales in tectonic coal were analyzed,the comprehensive characterization method for multi-scale fractal features of tectonic coal pore structures was discussed,and the influence factors of tectonic coal pore fractal dimension were studied by gray correlation method.The study results show that:the microporous filling model based on CO2 adsorption data,FHH model based on N2 adsorption data and thermodynamic model based on mercury injection data can effectively characterize the fractal characteristics of tectonic coal microporous,mesopore and macroporous,respectively.The fractal dimension of different scales pores vary according to the type of tectonic coal,in which the fractal dimensions of micropores and 2~6 nm pore diameter segment in mesopores increase with the destruction degree of tectonic coal,while the fractal dimension of pores at other scales has no obvious rule.The multi-scale comprehensive fractal dimension of tectonic coal is calculated by weighting the pore fractal dimensions of different scales by the proportion of the stage pore volume,which can unify the fractal characteristics of different scales pores according to a certain trend.And the trend shows that the multi-scale comprehensive fractal dimension increases with the degree of tectonic coal deformation.According to the order of gray correlation,factors such as median pore size,microporous pore capacity,total specific surface area,and microporous specific surface area have the greatest influence on the fractal dimension,followed by factors,such as most available pore size,total pore capacity,mesopore specific surface area,and proportion of microporous specific surface area,and factors such as ashyield,volatile matter,mesopore pore capacity,and proportion of mesopore specific surface area have relatively little influence on the fractal dimension.

     

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