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瓦斯压力对瓦斯在煤中扩散影响的实验研究
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  • 英文篇名:Experimental study of the influence of gas pressure on the gas diffusion in coal
  • 作者:杨鑫 ; 张俊英 ; 王公达 ; REN ; Tingxiang
  • 英文作者:YANG Xin;ZHANG Junying;WANG Gongda;REN Tingxiang;School of Resources and Safety Engineering,China University of Mining and Technology (Beijing);Mine Safety Technology Branch, Coal Science and Technology Research Institute;State Key Laboratory of Efficient Mining and Clean Utilization of Coal Resources;School of Civil,Mining and Environmental Engineering, University of Wollongong;
  • 关键词:瓦斯压力 ; 双孔扩散模型 ; 扩散速率 ; 瓦斯扩散系数
  • 英文关键词:gas pressure;;bidisperse diffusion model;;diffusion rate;;gas diffusion coefficient
  • 中文刊名:ZGKD
  • 英文刊名:Journal of China University of Mining & Technology
  • 机构:中国矿业大学(北京)资源与安全工程学院;煤炭科学技术研究院有限公司安全分院;煤炭资源高效开采和洁净利用国家重点实验室;卧龙岗大学土木采矿环境工程学院;
  • 出版日期:2019-05-10
  • 出版单位:中国矿业大学学报
  • 年:2019
  • 期:v.48;No.228
  • 基金:国家自然科学基金项目(51604153);; 国家重点研发计划项目(2018YFB0605601);; 国家十三五科技重大专项项目(2016ZX05045004-006)
  • 语种:中文;
  • 页:ZGKD201903005
  • 页数:9
  • CN:03
  • ISSN:32-1152/TD
  • 分类号:40-47+56
摘要
为了研究瓦斯压力对瓦斯在不同变质程度煤中扩散的影响,采集了我国典型矿区的煤样,采用低温氮吸附法和压汞法对煤样进行了孔隙特征分析,开展了不同压力下煤粒瓦斯吸附-解吸扩散动力学实验,分别采用单孔扩散模型和双孔扩散模型对扩散实验结果进行拟合.结果表明,双孔扩散模型比单孔扩散模型能更准确地描述煤粒瓦斯吸附-解吸扩散全过程.基于双孔扩散模型反演计算大孔和微孔有效扩散系数D_(ae),D_(ie),分析认为:二次多项式函数能很好地描述D_(ae)与压力的关系,在吸附过程中,当瓦斯压力小于某一临界压力时,D_(ae)随着压力的增大而减小,当瓦斯压力大于某一临界压力时,D_(ae)随着压力的增大而增大;在解吸过程中,当瓦斯压力大于某一临界压力值时,D_(ae)随着压力的减小而减小,当瓦斯压力小于某一临界压力值时,D_(ae)随着压力的减小而增大;大孔有效扩散系数均值Symbol`A@D_(ae)越大,临界瓦斯压力值就越大.而微孔有效扩散系数D_(ie)与压力则较好地符合一元线性关系:在吸附过程中D_(ie)随着压力的增大而增大,在解吸过程中D_(ie)随着压力的减小而减小.各煤样在吸附-解吸过程中的扩散特征参数β基本保持不变.
        Coal samples from typical mining areas in China were collected to investigate the impact of gas pressure on the gas diffusion in coals with different metamorphic degrees. The pore characteristics of coal samples were analyzed using the low-temperature nitrogen sorption and mercury pressure methods, the adsorption-desorption diffusion kinetics experiments of coal particles were made under different pressure. The diffusion experiments results were fitted by applying the unipore diffusion model and the bidisperse diffusion model. The results show that the bidisperse diffusion model more accurately describes the whole process of gas adsorption-desorption of coal particles relatively to the unipore diffusion model. The macropore effective diffusion coefficients D_(ae) and micropore effective diffusion coefficients D_(ie) were calculated using the bidisperse diffusion model. The analysis shows that the relationship between D_(ae) and pressure is better described by the quadratic polynomial model. In the adsorption process, D_(ae) decreases with the increase of pressure when the gas pressure is smaller than a threshold value, and D_(ae) increases with the increase of pressure when the gas pressure is greater than another threshold point. In the desorption process, D_(ae) reduces with the decrease of the pressure when the gas pressure is larger than a threshold value, and D_(ae) increases with the decrease of the pressure when the gas pressure is smaller than another threshold point. The average macropore diffusion effective coefficientSymbol`A@D_(ae) is larger if the critical value of gas pressure is higher. The micropore effective diffusion coefficient D_(ie) and pressure are well consistent with the linear relationship. D_(ie) increases with the increase of pressure during the adsorption process, and D_(ie) decreases with the decrease of pressure during the desorption process. The diffusion characteristic parameter β remains the same in the adsorption-desorption process of coal samples.
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