| 基于扫描电镜、孔隙-裂隙分析系统和气体吸附的煤孔隙结构联合表征 |
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| 引用本文： | 李祥春,高佳星,张爽,李毅,王梦娅,陆卫东.基于扫描电镜、孔隙-裂隙分析系统和气体吸附的煤孔隙结构联合表征[J].地球科学,2022,47(5):1876-1889. |
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| 作者姓名： | 李祥春 高佳星 张爽 李毅 王梦娅 陆卫东 |
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| 作者单位： | 1.中国矿业大学应急管理与安全工程学院，北京 100089 |
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| 基金项目： | 国家重点研究发展计划项目（No.2018YFC0808301）；;北京市自然科学基金项目（No.8192036）；;中央高校基本科研业务费专项基金项目（No.2009QZ09）； |
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| 摘 要： | 为了定量表征煤的孔隙结构，研究煤孔隙特征与吸附性能的内在联系，采用低温液氮吸附法（LP-N2GA）、CO2吸附法、扫描电镜（SEM）和孔隙-裂隙分析系统（PCAS）对6种不同变质程度煤样进行孔隙相关分析.煤样孔隙分布相似时，煤样对N2和CO2的吸附能力、孔隙率的近似概率密度和孔隙面积（中孔）与煤的挥发分呈负相关，煤样孔隙的分形维数与煤的挥发分呈正相关.煤样的孔隙分布差异较大时，煤样对N2和CO2的最大吸附容量与孔隙分布有关.建立了煤纳米孔结构的联合表征模式，该表征模式能够更有效地研究和分析煤中的孔隙，包括孔隙数目、孔隙面积、孔隙周长、平均形状因子、孔隙率、分形维数和孔径分布，将SEM-PCAS与气体吸附方法相结合对煤的孔隙结构进行定量联合表征的模式是可行的.
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| 关 键 词： | 联合表征 煤孔隙率 孔隙结构 孔隙裂缝分析系统 孔径分布 油气地质 |
| 收稿时间： | 2021-12-02 |
Combined Characterization of Scanning Electron Microscopy,Pore and Crack Analysis System,and Gas Adsorption on Pore Structure of Coal with Different Volatilization |
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| Li Xiangchun,Gao Jiaxing,Zhang Shuang,Li Yi,Wang Mengya,Lu Weidong.Combined Characterization of Scanning Electron Microscopy,Pore and Crack Analysis System,and Gas Adsorption on Pore Structure of Coal with Different Volatilization[J].Earth Science-Journal of China University of Geosciences,2022,47(5):1876-1889. |
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| Authors: | Li Xiangchun Gao Jiaxing Zhang Shuang Li Yi Wang Mengya Lu Weidong |
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| Abstract: | The coal nanopore structure's common characterization pattern is established by the LP-N2GA method, CO2 adsorption method, SEM-PCAS, and the pore characteristics of six coals with different metamorphic degrees are analyzed. The characterization model enables us to study and analyze the pores in coal more effectively, including pore number, pore area, pore perimeter, average shape factor, porosity, fractal dimension, and pore size distribution. When the pore distribution of coal samples is similar, the adsorption capacity of coal for N2 and CO2, the approximate probability density of porosity and pore area (mesopore) of coal samples are negatively correlated with the volatile matter of coal, and the fractal dimension of the pore of coal samples is positively correlated with the volatile matter of coal. When the pore distribution of coal samples is quite different, the maximum adsorption capacity of N2 and CO2 is related to the pore distribution. The combination of SEM-PCAS and gas adsorption technology facilitates the understanding of the pore characteristics of coal. The research results have specific guiding significance for coal mine gas control. |
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