• 中文核心期刊
  • 中国科技核心期刊
  • RCCSE中国核心学术期刊

煤的孔隙分布特征研究理论与方法综述

陈煜朋, 姜文忠, 秦玉金, 苏伟伟

陈煜朋, 姜文忠, 秦玉金, 苏伟伟. 煤的孔隙分布特征研究理论与方法综述[J]. 煤矿安全, 2021, 52(3): 190-196.
引用本文: 陈煜朋, 姜文忠, 秦玉金, 苏伟伟. 煤的孔隙分布特征研究理论与方法综述[J]. 煤矿安全, 2021, 52(3): 190-196.
CHEN Yupeng, JIANG Wenzhong, QIN Yujin, SU Weiwei. Review on research theory and methods of pore distribution characteristics of coal[J]. Safety in Coal Mines, 2021, 52(3): 190-196.
Citation: CHEN Yupeng, JIANG Wenzhong, QIN Yujin, SU Weiwei. Review on research theory and methods of pore distribution characteristics of coal[J]. Safety in Coal Mines, 2021, 52(3): 190-196.

煤的孔隙分布特征研究理论与方法综述

Review on research theory and methods of pore distribution characteristics of coal

  • 摘要: 煤的孔隙分布特征不仅直接影响着煤层中瓦斯的赋存与运移能力,还直接影响着煤氧之间物理吸附与化学反应的发展进程。因此,深入研究煤的孔隙分布特征有利于对煤储层进行合理的分类评价,进而研究分析煤层瓦斯储存运移规律及煤低温氧化反应机制,提高瓦斯含量预测准确度及瓦斯抽采效率,细微描述煤自然发火过程。通过调研大量的相关文献,系统总结了目前煤的孔隙分布特征研究理论和方法,并对各种研究理论和方法进行对比分析,指出了各自的优势及不足,提出了下一步可从微孔隙的准确测量以及全尺度合理表征、煤孔隙的微观效应研究、建立精确的煤介质模型3个方向开展研究。
    Abstract: The pore distribution characteristics of coal not only directly affect the gas storage and migration ability in coal seam, but also directly affect the development process of physical adsorption and chemical reaction between coal and oxygen. Therefore, in-depth study of the pore distribution characteristics of coal is conducive to the reasonable classification and evaluation of coal reservoirs, and then study and analyze the laws of gas storage and migration in coal seams and the low-temperature oxidation reaction mechanism of coal, improve the accuracy of gas content prediction and gas extraction efficiency, and describe the process of coal spontaneous combustion in detail. We have systematically summarized the current research theories and methods of pore distribution characteristics of coal through a large number of relevant literature investigations, and compared and analyzed various research theories and methods, pointed out their respective advantages and disadvantages. Finally, it is proposed that the next step can be carried out from three directions: accurate measurement of micro-pores and reasonable characterization at full scale, research on microscopic effects of coal pores, and establishment of accurate coal medium models.
  • [1] 杨小彬,陈希昂,汪腾蛟,等.补连塔矿煤样的孔隙特征及吸附特性试验研究[J].煤矿安全,2020,51(1):10-13.

    YANG Xiaobin, CHEN Xi’ang, WANG Tengjiao, et al. Experimental study on pore and adsorption characteristics of coal samples of Bulianta Mine[J]. Safety in Coal Mines, 2020, 51(1): 10-13.

    [2] 贾雪梅,蔺亚兵,马东民.中低煤阶煤孔隙特征及对瓦斯放散特性的影响[J].煤矿安全,2019,50(11):169.

    JIA Xuemei, LIN Yabing, MA Dongmin. Pore characteristics of medium and low rank coal and its influence on gas emission characteristics[J]. Safety in Coal Mines, 2019, 50(11): 169.

    [3] 许耀波,朱玉双.高阶煤的孔隙结构特征及其对煤层气解吸的影响[J].天然气地球科学,2020,31(1):84.

    XU Yaobo, ZHU Yushuang. Pore structure characteristics of high rank coal and its effect on CBM desorption[J]. Natural Gas Geoscience, 2020, 31(1): 84.

    [4] 王毅,赵阳升,冯增朝.褐煤煤层自燃火灾发展进程中孔隙结构演化特征[J].煤炭学报,2010,35(9): 1490-1495.

    WANG Yi, ZHAO Yangsheng, FENG Zengchao. Evolution charactics of pore structure during lignite seam spontaneous combustion developing[J]. Journal of China Coal Society. 2010, 35(9): 1490-1495.

    [5] 梁运涛,王树刚,蒋爽,等.煤炭自然发火介尺度分析:从表征体元宏观模型到孔隙微观模型[J].煤炭学报,2019,44(4):1138-1146.

    LIANG Yuntao, WANG Shugang, JIANG Shuang, et al. Analysis of mesoscale in coal spontaneous combustion: from macro-model of representative elementary volume scale to micro-model of pore scale[J]. Jourmal of China Coal Society, 2019, 44(4): 1138-1146.

    [6] В B 霍多特.煤与瓦斯突出[M].宋士钊,王佑安,译.北京:中国工业出版社,1966:19-28.
    [7] 刘常洪.煤孔结构特征的试验研究[J].煤矿安全,1993,21(8):1-4.
    [8] 傅雪海,秦勇,张万红,等.基于煤层气运移的煤孔隙分形分类及自然分类研究[J].科学通报,2005,50(S1):51-55.
    [9] 张慧.煤孔隙的成因类型及其研究[J].煤炭学报,2001,26(1):40-44.

    ZHANG Hui. Genetical type of proes in coal reservoir and its research significance[J]. Journal of China Coal Society, 2001, 26(1): 40-44.

    [10] 郝琦.煤的显微孔隙形态特征及其成因探讨[J].煤炭学报,1987,12(4):51-57.
    [11] GAN H, NANDI S P, WALKER P L. Nature of the porosity in American coals[J]. Fuel, 1972, 51(6): 272-277.
    [12] 于良臣,杨思敬,唐修义,等.煤层烃类气体组分与煤岩煤化关系的研究[R].抚顺:抚顺煤炭科学研究所,1985.
    [13] 秦勇,徐志伟.高煤级煤孔径结构的自然分类及其应用[J].煤炭学报,1995,20(3):266-271.

    QIN Yong, XU Zhiwei. Natural classification of the high-rank coal pore structure and its application[J].Journal of China Coal Society, 1995, 20(3): 266-271.

    [14] 姚艳斌,刘大锰,黄文辉,等.两淮煤田煤储层孔-裂隙系统与煤层气产出性能研究[J].煤炭学报, 2006,31(2):163-168.

    YAO Yanbin, LIU Dameng, HUANG Wenhui, et al. Research on the pore-fractures system properties of coalbed methane reservoirs and recovery in Huainan and Huaibei Coalfields[J]. Journal of China Coal Society, 2006, 31(2): 163-168.

    [15] 张超谟,陈振标,张占松,等.基于核磁共振T2谱分布的储层岩石孔隙分形结构研究[J].石油天然气学报,2007,29(4):80-86.

    ZHANG Chaomo, CHEN Zhenbiao, ZHANG Zhansong, et al. Fractal characteristics of reservoir rock pore structure based on NMR T2 distribution[J]. Journal of Oil and Gas Technology, 2007, 29(4): 80-86.

    [16] STRANGE J H, MITCHELL J. Characterising porous media[J]. Lecture Notes Physics, 2006, 684: 407.
    [17] 王刚,杨鑫祥,张孝强,等.基于CT三维重建的煤层气非达西渗流数值模拟[J].煤炭学报,2016,41(4):931-940.

    WANG Gang, YANG Xinxiang, Zhang Xiaoqiang, et al. Numerical simulation on non-Darcy seepage of CBM by means of 3D reconstruction based on computed tomography[J]. Journal of China Coal Society, 2016, 41(4): 931-940.

    [18] 钟江城,周宏伟,任伟光,等.基于CT图像灰度分布的含杂质煤体三值化方法[J].力学与实践, 2018, 40(2):140-147.
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  • 发布日期:  2021-03-19

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