Study on gas desorption dynamic features of mixed coal samples with different particle sizes
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摘要: 目前关于瓦斯解吸动力特性的研究主要集中在单一粒径煤样，而对于不同粒径混合煤样瓦斯解吸动力特性的研究较少。针对该问题，利用含瓦斯煤多场耦合渗流解吸实验系统，将（0，0.25）mm、[0.25，0.5）mm、[0.5，1] mm 3种粒径煤样按照不同比例混合，开展了不同粒径混合煤样瓦斯解吸实验，分析了不同粒径煤样占比条件下的瓦斯解吸量、扩散系数及解吸衰减系数等瓦斯解吸动力学参数变化特征。结果表明：① 不同粒径混合煤样瓦斯解吸过程中，前期影响瓦斯解吸量的主要因素是粒径大小，后期影响瓦斯解吸量的主要因素是煤样中不同粒径煤样占比大小；小粒径煤颗粒占比越大，煤样瓦斯解吸量越大。② 不同粒径混合煤样瓦斯扩散系数具有时变性，随着瓦斯解吸时间增加，瓦斯扩散系数呈衰减态，最终趋近0；初始瓦斯扩散系数随小粒径颗粒煤占比的增加而减小；③ 小粒径颗粒煤占比越大，瓦斯解吸衰减系数越大。因此，在井下瓦斯含量测定过程中，获取的煤样中应尽可能提高大粒径颗粒煤的占比，以降低取样过程中瓦斯损失量，提高瓦斯含量测定的准确度。Abstract: Currently, research on the dynamic features of gas desorption mainly focuses on single particle size coal samples. There is less research on the dynamic features of gas desorption of mixed coal samples with different particle sizes. To solve this problem, a multi field coupled seepage desorption experimental system is used to mix coal samples with three different particle sizes (0,0.25) mm, [0.25, 0.5) mm, and [0.5, 1] mm in different proportions. Gas desorption experiments are conducted on mixed coal samples with different particle sizes. The changes in gas desorption kinetic parameters such as gas desorption amount, diffusion coefficient, and desorption attenuation coefficient are analyzed under different particle size coal sample proportions. The results indicate the following points. ① During the gas desorption process of mixed coal samples with different particle sizes, the main factor affecting the gas desorption amount in the early stage is particle size. In the later stage, the main factor affecting the gas desorption amount is the proportion of coal samples with different particle sizes. The larger the proportion of small coal particles, the greater the amount of gas desorption in the coal sample. ② The gas diffusion coefficient of mixed coal samples with different particle sizes exhibits temporal variability. As the gas desorption time increases, the gas diffusion coefficient decreases and eventually approaches 0. The initial gas diffusion coefficient decreases with the increase of the proportion of small particle coal. ③ The larger the proportion of small particle coal, the greater the attenuation coefficient of gas desorption. Therefore, in the process of underground gas content measurement, the proportion of large particle coal in the coal samples obtained should be increased as much as possible to reduce gas loss during the sampling process and improve the accuracy of gas content measurement.
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图 1 图１ 含瓦斯煤多场耦合渗流解吸实验系统
Figure 1. Coal containing gas multi-field coupling seepage desorption experiment system
图 2 不同粒径混合煤样瓦斯解吸量随时间变化曲线
Figure 2. Variation curves of gas desorption of mixed coal samples with different particle sizes under different time
图 3 不同粒径混合煤样瓦斯扩散系数随时间变化曲线
Figure 3. Variation curves of diffusion coefficient of mixed coal samples with different particle sizes under different time
图 4 不同粒径混合煤样瓦斯解吸衰减系数变化曲线
Figure 4. Variation curves of desorption attenuation coefficient of mixed coal samples with different particle sizes under different time
表 1 煤样基本物性参数
Table 1. Basic physical property parameters of coal samples
破坏类型 瓦斯放散初速度/mmHg 水分/% 灰分/% 挥发分/% 吸附常数a/(mL·g−1) 吸附常数b/MPa−1 孔隙率/% Ⅱ，Ⅲ类 8.74 0.55 8.48 17.08 29.24 0.95 4.20 
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表 2 不同粒径混合煤样
Table 2. Mixed coal samples with different particle sizes
煤样编号 粒径占比/% （0，0.25） mm [0.25，0.5） mm [0.5，1] mm D1 0 0 100 D2 0 100 0 D3 100 0 0 H1 95 3 2 H2 80 15 5 H3 80 5 15
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表 3 不同粒径混合煤样瓦斯扩散系数
Table 3. Diffusion coefficients of mixed coal samples with different particle sizes
时间/s 瓦斯扩散系数/（m2·s−1） D1 D2 D3 H1 H2 H3 15 6.87×10−11 5.01×10−11 1.20×10−11 3.14×10−11 5.84×10−11 6.50×10−11 60 3.24×10−11 2.32×10−11 5.41×10−12 1.44×10−11 2.73×10−11 3.07×10−11 120 2.22×10−11 1.58×10−11 3.63×10−12 9.65×10−12 1.86×10−11 2.10×10−11 180 1.78×10−11 1.27×10−11 2.88×10−12 7.66×10−12 1.49×10−11 1.69×10−11 240 1.53×10−11 1.08×10−11 2.44×10−12 6.51×10−12 1.27×10−11 1.44×10−11 300 1.35×10−11 9.54×10−12 2.14×10−12 5.74×10−12 1.13×10−11 1.28×10−11 420 1.13×10−11 7.92×10−12 1.77×10−12 4.74×10−12 9.36×10−12 1.07×10−11 540 9.82×10−12 6.89×10−12 1.53×10−12 4.11×10−12 8.15×10−12 9.29×10−12 660 8.81×10−12 6.17×10−12 1.36×10−12 3.67×10−12 7.30×10−12 8.33×10−12 780 8.05×10−12 5.63×10−12 1.24×10−12 3.33×10−12 6.66×10−12 7.61×10−12 900 7.45×10−12 5.19×10−12 1.14×10−12 3.07×10−12 6.16×10−12 7.04×10−12 1200 6.37×10−12 4.43×10−12 9.66×10−13 2.61×10−12 5.26×10−12 6.02×10−12 1500 5.64×10−12 3.91×10−12 8.50×10−13 2.30×10−12 4.66×10−12 5.34×10−12 2 000 4.83×10−12 3.34×10−12 7.20×10−13 1.95×10−12 3.97×10−12 4.56×10−12
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[1] 王恩元,张国锐,张超林,等. 我国煤与瓦斯突出防治理论技术研究进展与展望[J]. 煤炭学报,2022,47(1):297-322. doi: 10.13225/j.cnki.jccs.yg21.1846WANG Enyuan,ZHANG Guorui,ZHANG Chaolin,et al. Research progress and prospect on theory for coal and gas outburst control and protection in China[J]. Journal of China Coal Society,2022,47(1):297-322. doi: 10.13225/j.cnki.jccs.yg21.1846 [2] 袁亮,姜耀东,何学秋,等. 煤矿典型动力灾害风险精准判识及监控预警关键技术研究进展[J]. 煤炭学报,2018,43(2):306-318. doi: 10.13225/j.cnki.jccs.2017.4151YUAN Liang,JIANG Yaodong,HE Xueqiu,et al. Research progress of precise risk accurate identification and monitoring early warning on typical dynamic disasters in coal mine[J]. Journal of China Coal Society,2018,43(2):306-318. doi: 10.13225/j.cnki.jccs.2017.4151 [3] 袁亮. 煤矿典型动力灾害风险判识及监控预警技术研究进展[J]. 煤炭学报,2020,45(5):1557-1566. doi: 10.13225/j.cnki.jccs.dy20.0272YUAN Liang. Research progress on risk identification,assessment,monitoring and early warning technologies of typical dynamic hazards in coal mines[J]. Journal of China Coal Society,2020,45(5):1557-1566. doi: 10.13225/j.cnki.jccs.dy20.0272 [4] 龙威成. 煤层瓦斯含量测定过程气成分差异研究[J]. 安全与环境学报,2020,20(3):925-929.LONG Weicheng. Trace and determination of the gas compositional difference in the coal seam gas content testing[J]. Journal of Safety and Environment,2020,20(3):925-929. [5] 李成武,王义林,王其江,等. 直接法瓦斯含量测定结果准确性实验研究[J]. 煤炭学报,2020,45(1):189-196. doi: 10.13225/j.cnki.jccs.YG19.1673LI Chengwu,WANG Yilin,WANG Qijiang,et al. Experimental study on accuracy of direct gas content determination[J]. Journal of China Coal Society,2020,45(1):189-196. doi: 10.13225/j.cnki.jccs.YG19.1673 [6] 刘帅强,王兆丰,马树俊,等. 基于压力与温度对损失瓦斯量影响试验研究[J]. 中国安全生产科学技术,2021,17(12):92-97.LIU Shuaiqiang,WANG Zhaofeng,MA Shujun,et al. Experimental study on influence of pressure and temperature on gas loss amount[J]. Journal of Safety Science and Technology,2021,17(12):92-97. [7] 袁梅,王玉丽,李闯,等. 粒径−温度耦合作用下煤中瓦斯解吸规律试验研究[J]. 煤矿安全,2019,50(12):32-35,40.YUAN Mei,WANG Yuli,LI Chuang,et al. Experimental study on coupling effect of particle size and temperature on gas desorption in coal[J]. Safety in Coal Mines,2019,50(12):32-35,40. [8] 林海飞,韩双泽,杨二豪,等. 脉冲超声对煤的孔隙结构及瓦斯解吸特性影响的实验研究[J]. 采矿与安全工程学报,2022,39(6):1235-1245. doi: 10.13545/j.cnki.jmse.2022.0378LIN Haifei,HAN Shuangze,YANG Erhao,et al. Experimental study on the influence of pulsed ultrasound on coal pore structure and gas desorption characteristics[J]. Journal of Mining & Safety Engineering,2022,39(6):1235-1245. doi: 10.13545/j.cnki.jmse.2022.0378 [9] 王振洋,程远平. 构造煤与原生结构煤孔隙特征及瓦斯解吸规律试验[J]. 煤炭科学技术,2017,45(3):84-88. doi: 10.13199/j.cnki.cst.2017.03.015WANG Zhenyang,CHENG Yuanping. Experiment on pore characteristics and gas desorption law of structural coal and primary structure coal[J]. Coal Science and Technology,2017,45(3):84-88. doi: 10.13199/j.cnki.cst.2017.03.015 [10] 李树刚,张晓宇,严敏,等. 型煤粒度对孔隙结构特征及瓦斯吸附特性的影响[J]. 矿业安全与环保,2019,46(4):8-12,16. doi: 10.3969/j.issn.1008-4495.2019.04.002LI Shugang,ZHANG Xiaoyu,YAN Min,et al. Effect of coal particle size on pore structure characteristic and gas adsorption characteristic[J]. Mining Safety & Environmental Protection,2019,46(4):8-12,16. doi: 10.3969/j.issn.1008-4495.2019.04.002 [11] 陈学习,高泽帅,金霏阳,等. 不同粒径煤的瓦斯解吸扩散特性实验研究[J]. 华北科技学院学报,2022,19(4):1-6.CHEN Xuexi,GAO Zeshuai,JIN Feiyang,et al. Experimental studies on gas desorption and diffusion characteristics of coal with different particle sizes[J]. Journal of North China Institute of Science and Technology,2022,19(4):1-6. [12] 李修磊. 不同解吸公式对混合粒度颗粒煤瓦斯解吸的适用性研究[J]. 煤矿安全,2020,51(9):35-40. doi: 10.13347/j.cnki.mkaq.2020.09.009LI Xiulei. Study on applicability of different desorption formulas to gas desorption of mixed particle coal[J]. Safety in Coal Mines,2020,51(9):35-40. doi: 10.13347/j.cnki.mkaq.2020.09.009 [13] 郭朋帅,高建宁,张春璞,等. 瓦斯放散初速度影响因素研究进展[J]. 煤矿安全,2020,51(7):176-182.GUO Pengshuai,GAO Jianning,ZHANG Chunpu,et al. Research progress and analysis on influence factors of initial velocity of gas emission[J]. Safety in Coal Mines,2020,51(7):176-182. [14] 袁军伟. 颗粒煤瓦斯扩散时效特性研究[D]. 北京: 中国矿业大学（北京）, 2014.YUAN Junwei. Study on diffusion aging characteristics of granular coal gas[D]. Beijing: China University of Mining and Technology-Beijing, 2014. [15] 李青松,李国红,王恩元,等. 基于经典扩散模型不同粒径粒煤瓦斯扩散特征实验研究[J]. 中国安全生产科学技术,2018,14(9):44-49.LI Qingsong,LI Guohong,WANG Enyuan,et al. Experimental study on gas diffusion characteristics of granular coal with different particle sizes based on classical diffusion model[J]. Journal of Safety Science and Technology,2018,14(9):44-49. [16] 成小雨,龚选平,尉瑞,等. 考虑煤体粒度的落煤瓦斯涌出预测模型研究[J]. 中国安全生产科学技术,2022,18(7):61-67.CHENG Xiaoyu,GONG Xuanping,YU Rui,et al. Study on prediction model of gas emission in dropping coal considering coal particle size[J]. Journal of Safety Science and Technology,2022,18(7):61-67. [17] 韩恩光,刘志伟,冉永进,等. 不同粒度煤的瓦斯解吸扩散规律实验研究[J]. 中国安全生产科学技术,2019,15(12):83-87.HAN Enguang,LIU Zhiwei,RAN Yongjin,et al. Experimental study on gas desorption and diffusion laws of coal with different particle sizes[J]. Journal of Safety Science and Technology,2019,15(12):83-87. [18] 翟盛锐. 不同粒度型煤煤样瓦斯吸附-解吸变形特征实验研究[J]. 中国安全生产科学技术,2018,14(6):84-89. doi: 10.11731/j.issn.1673-193x.2018.06.013ZHAI Shengrui. Experimental study on gas adsorption-desorption deformation characteristics of briquette coal samples with different granularity[J]. Journal of Safety Science and Technology,2018,14(6):84-89. doi: 10.11731/j.issn.1673-193x.2018.06.013 [19] 周伟,袁亮,薛俊华,等. 多粒度煤样瓦斯等温吸附解吸特征试验分析:以寺河煤矿3号煤为例[J]. 工矿自动化,2018,44(1):26-30. doi: 10.13272/j.issn.1671-251x.17277ZHOU Wei,YUAN Liang,XUE Junhua,et al. Experimental analysis of isothermal adsorption and desorption characteristics of gas in coal samples with multi grain sizes:A case study on No. 3 coal in Sihe Coal Mine[J]. Industry and Mine Automation,2018,44(1):26-30. doi: 10.13272/j.issn.1671-251x.17277 [20] 贾宏福. 基于浓度差测定方法的扩散系数影响因素空模型研究[D]. 焦作: 河南理工大学, 2021.JIA Hongfu. Study on empty model of influencing factors of diffusion coefficient based on concentration difference measurement method[D]. Jiaozuo: Henan Polytechnic University, 2021. [21] 杨萌萌,袁梅,徐林,等. 粒径对煤中瓦斯放散初速度影响实验研究[J]. 工矿自动化,2016,42(9):56-59. doi: 10.13272/j.issn.1671-251x.2016.09.013YANG Mengmeng,YUAN Mei,XU Lin,et al. Experimental research of influence of coal particle size on initial speed of methane diffusion[J]. Industry and Mine Automation,2016,42(9):56-59. doi: 10.13272/j.issn.1671-251x.2016.09.013 -
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