贵州省突出煤层孔隙分形特征研究

徐林, 袁梅, 杨萌萌, 许石青, 王玉丽, 李闯

徐林，袁梅，杨萌萌，等.贵州省突出煤层孔隙分形特征研究［J］.工矿自动化，2017,43（4）：32-36.. DOI: 10.13272/j.issn.1671-251x.2017.04.008
引用本文: 徐林，袁梅，杨萌萌，等.贵州省突出煤层孔隙分形特征研究［J］.工矿自动化，2017,43（4）：32-36.. DOI: 10.13272/j.issn.1671-251x.2017.04.008
shu
XU Lin, YUAN Mei, YANG Mengmeng, XU Shiqing, WANG Yuli, LI Chuang. Research on pore fractal characteristics of outburst coal seam in Guizhou province[J]. Journal of Mine Automation, 2017, 43(4): 32-36. DOI: 10.13272/j.issn.1671-251x.2017.04.008
Citation: XU Lin, YUAN Mei, YANG Mengmeng, XU Shiqing, WANG Yuli, LI Chuang. Research on pore fractal characteristics of outburst coal seam in Guizhou province[J]. Journal of Mine Automation, 2017, 43(4): 32-36. DOI: 10.13272/j.issn.1671-251x.2017.04.008
shu

贵州省突出煤层孔隙分形特征研究

  • 1.

    贵州大学 矿业学院， 贵州 贵阳550025

  • 2.

    贵州省非金属矿产资源综合利用重点实验室，贵州 贵阳550025

  • 3.

    贵州省优势矿产资源高效利用工程实验室， 贵州 贵阳550025

  • 4.

    复杂地质矿山开采安全技术工程中心， 贵州

详细信息

  • 中图分类号: TD712

Research on pore fractal characteristics of outburst coal seam in Guizhou province

  • 1.

    Mining College, Guizhou University, Guiyang 550025, China

  • 2.

    Guizhou Key Laboratory of Comprehensive Utilization of Non-metallic Mineral Resources, Guiyang 550025, China

  • 3.

    Guizhou Engineering Lab of

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    摘要
  • 摘要: 以贵州省富煤区6个突出煤层为研究对象，采用液氮吸附实验和压汞实验，分析了各煤层煤样的孔隙大小分级，计算了煤样分形维数，并分析了各煤层煤样孔隙分形特征及其与瓦斯吸附量、煤样渗透性的关系。结果表明：6个煤层煤样不同级别的孔隙具有良好的分形特征，能够显示孔隙大小及孔隙分布特征，验证了采用分形维数可以定量分析煤样孔隙特征；微孔分形维数与煤样瓦斯吸附量呈正相关关系，不同煤田煤样瓦斯吸附能力差异较大；小孔分形维数反映了煤样孔隙结构较简单，煤样间孔隙结构复杂程度相似；中孔、大孔、显微裂隙和微裂隙分形维数显示煤样孔隙分布趋势基本一致，存在某些级别孔隙发育很差的情况，需要增透以提高抽采效果。
    Abstract: Coal samples of six outburst coal seams in coal-rich areas in Guizhou province were taken as research objects to analyze size grade of pore, fractal dimension, fractal characteristics and relationship between the fractal characteristics and gas adsorption or coal permeability by use of liquid nitrogen adsorption experiment and mercury intrusion experiment. The experimental results show that pores of the coal samples with different grades have good fractal characteristics, which can show porosity and pore distribution characteristics. The fractal dimension can be used to quantitatively analyze pore characteristics of coal samples. There is a positive correlation between the fractal dimension of micro pore of the coal samples and gas adsorption value. Gas adsorption capacity of coal samples in different coals is quite different. The fractal dimension of small pore reflects simple pore structures of coal samples and pore similarity among coal samples. The fractal dimensions of medium pore, large pore, pore fracture and micro fracture show that pore distribution trend of each coal sample is similar. Pores with some size grades develop badly, so measure for increasing the permeability of coal seam are needed to improve gas drainage effect.
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  • 刊出日期:  2017-04-09

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