博孜墩西井工作面绝对瓦斯涌出量规律分析
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摘要
针对博孜墩煤矿瓦斯赋存规律及涌出问题,通过现场调研和资料收集,对博孜墩煤矿西井的地质情况和瓦斯地质规律进行分析,并对瓦斯涌出量进行预测。结果表明:矿井中瓦斯垂直分带大部分为氮气(N2)带,少部分为氮气—甲烷(N2—CH4)带;矿井在历次勘探过程中没有进行过瓦斯含量及成分的测试工作,历年瓦斯鉴定结果均为低瓦斯矿井;矿井采掘过程中,瓦斯涌出量较小,但随着开采深度和开采强度的增大,其绝对瓦斯涌出量会逐渐增大;根据建立的埋深与涌出量相关的一元线性回归方程,得出绝对瓦斯涌出量大小与煤层埋深相关性最大,相关系数R2达到0. 796 4。研究结果对博孜墩煤矿存在的瓦斯问题进行了一定程度的解释,为矿井开采工作提供了基础理论支持。
According to the law of gas occurrence and flooding in Bozidun Coal Mine,the geological conditions and gas geological laws of the West Well of Bozidun Coal Mine were analyzed through on-site investigation and data collection,and the gas emission amount was predicted. The results showed that most of the vertical gas division in the middle gas is nitrogen(N2) belt,and a small part is nitrogenmethane(N2-CH4) belt. No gas content and composition test has been carried out in the past exploration process of the mine,and the results of gas appraisal in the past years are all low gas mines. The amount of gas emission is small during mine mining,but as the mining depth and mining intensity increase,the absolute gas emission will gradually increase. According to the established one-dimensional linear regression equation,it is concluded that the absolute gas emission has the greatest correlation with the coal seam depth,and the correlation coefficient R2 reaches 0. 796 4. The research results explain the gas problem in Bozidun Coal Mine to a certain extent,and provide basic theoretical support for mine mining work.
According to the law of gas occurrence and flooding in Bozidun Coal Mine,the geological conditions and gas geological laws of the West Well of Bozidun Coal Mine were analyzed through on-site investigation and data collection,and the gas emission amount was predicted. The results showed that most of the vertical gas division in the middle gas is nitrogen(N2) belt,and a small part is nitrogenmethane(N2-CH4) belt. No gas content and composition test has been carried out in the past exploration process of the mine,and the results of gas appraisal in the past years are all low gas mines. The amount of gas emission is small during mine mining,but as the mining depth and mining intensity increase,the absolute gas emission will gradually increase. According to the established one-dimensional linear regression equation,it is concluded that the absolute gas emission has the greatest correlation with the coal seam depth,and the correlation coefficient R2 reaches 0. 796 4. The research results explain the gas problem in Bozidun Coal Mine to a certain extent,and provide basic theoretical support for mine mining work.
引文
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[16]王艳双.矿井瓦斯涌出量预测研究中的数学模型[J].煤炭技术,2015(11):185-187.Wang Yanshuang. Mathematical model for prediction of mine gasemission[J]. Coal Technology,2015(11):185-187.
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[20]贾永勇,娄芳.阿艾矿区瓦斯分布特征分析及区域预测[J].煤炭技术,2016,35(12):183-185.Jia Yongyong,Lou Fang. Ai mining area gas distribution character-istics analysis and regional prediction[J]. Coal Technology,2016,35(12):183-185.
[2]施式亮,宋译,何利文,等.矿井掘进工作面瓦斯涌出混沌特性判别研究[J].煤炭学报,2006,31(6):701-705.Shi Shiliang,Song Yi,He Liwen,et al. Discriminant study on cha-otic characteristics of gas emission in coal mine driving face[J].Journal of China Coal Society,2006,31(6):701-705.
[3]李宝富,张永俊,张兵奇,等.近距离煤层开采瓦斯涌出量预测及其影响因素分析[J].煤炭工程,2013,45(6):83-85.Li Baofu,Zhang Yongjun,Zhang Bingqi,et al. Prediction of gas e-mission from close seam mining and analysis of its influencing fac-tors[J]. Coal Engineering,2013,45(6):83-85.
[4]张瑞林,李东印,魏军,等.瓦斯涌出影响因素及其变化特征研究[J].煤炭科学技术,2005,33(10):20-22.Zhang Ruilin,Li Dongyin,Wei Jun,et al. Study on influencing fac-tors of gas emission and their changing characteristics[J]. CoalScience and Technology,2005,33(10):20-22.
[5]王鹏科,肖永福,李建军.影响采煤工作面瓦斯涌出量的地质因素分析[C]//陕西省煤炭学会学术年会,2011.
[6]刘彦伟,薛文涛,李志强.矿山统计法瓦斯涌出量预测模型存在的问题与校正[J].煤矿安全,2015,46(5):176-178.Liu Yanwei,Xue Wentao,Li Zhiqiang. Problems and correction ofgas emission prediction model based on mine statistics[J]. Safetyin Coal Mines,2015,46(5):176-178.
[7]王兆丰.矿井瓦斯涌出量分源预测法及其应用[J].煤矿安全,1991(1):8-12.Wang Zhaofeng. Prediction method of mine gas emission quantityand its application[J]. Safety in Coal Mines,1991(1):8-12.
[8]张春璞.分源预测法在生产矿井瓦斯涌出量预测中的应用[J].煤炭技术,2014(10):37-39.Zhang Chunpu. Application of separate source prediction method inprediction of gas emission from production mines[J]. Coal Tech-nology,2014(10):37-39.
[9]宁超.运用类比法预测新建矿井瓦斯涌出量[J].中州煤炭,1992(2):21-23.Ning Chao. Using analogy method to predict gas emission in newmines[J]. Zhongzhou Coal,1992(2):21-23.
[10]郁云,杜杰,陆金桂.基于人工神经网络的瓦斯涌出量预测[J].计算机仿真,2006,23(8):146-148.Yu Yun,Du Jie,Lu Jingui. Prediction of gas emission based on ar-tificial neural network[J]. Computer Simulation,2006,23(8):146-148.
[11]陈金国.神经网络模型及其在煤矿瓦斯预测中的应用[J].煤炭科技,2005(2):39-41.Chen Jinguo. Neural network model and its application in coalmine gas prediction[J]. Coal Science and Technology Magazine,2005(2):39-41.
[12]付华,谢森,徐耀松,等.基于ACC-ENN算法的煤矿瓦斯涌出量动态预测模型研究[J].煤炭学报,2014,39(7):1296-1301.Fu Hua,Xie Sen,Xu Yaosong,et al. Study on the dynamic predic-tion model of coal mine gas emission based on ACC-ENN algorithm[J]. Journal of China Coal Society,2014,39(7):1296-1301.
[13]谢万星,孙惠民.矿井瓦斯涌出量的灰色预测[J].煤矿安全,2002,33(4):32-33.Xie Wanxing,Sun Huimin. Grey prediction of mine gas emission[J]. Safety in Coal Mines,2002,33(4):32-33.
[14]梁东英.基于灰色模型的不同开采强度矿井瓦斯涌出量的预测[J].能源技术与管理,2005(3):8-9.Liang Dongying. Prediction of gas emission from mines with differ-ent mining intensities based on Grey model[J]. Energy Technologyand Management,2005(3):8-9.
[15]谷松,崔洪庆,冯文丽.基于灰色理论的小波神经网络对瓦斯涌出量的预测[J].煤炭学报,2007,32(9):964-966.Gu Song,Cui Hongqing,Feng Wenli. Prediction of gas emission bywavelet neural network based on grey theory[J]. Journal of ChinaCoal Society,2007,32(9):964-966.
[16]王艳双.矿井瓦斯涌出量预测研究中的数学模型[J].煤炭技术,2015(11):185-187.Wang Yanshuang. Mathematical model for prediction of mine gasemission[J]. Coal Technology,2015(11):185-187.
[17]张子敏.瓦斯地质学[M].徐州:中国矿业大学出版社,2009.
[18]李彬刚,景兴鹏.瓦斯涌出量预测研究现状和进展[J].陕西煤炭,2007(5):20-22.Li Bingang,Jing Xingpeng. Research status and progress of gas e-mission prediction[J]. Shaanxi Coal,2007(5):20-22.
[19]李曰俊,杨海军,赵岩,等.南天山区域大地构造与演化[J].大地构造与成矿学,2009,33(1):94-104.Li Yuejun,Yang Haijun,Zhao Yan,et al. Geotectonics and evolu-tion in the southern Tianshan mountains[J]. Geotectonica et Met-allogenia,2009,33(1):94-104.
[20]贾永勇,娄芳.阿艾矿区瓦斯分布特征分析及区域预测[J].煤炭技术,2016,35(12):183-185.Jia Yongyong,Lou Fang. Ai mining area gas distribution character-istics analysis and regional prediction[J]. Coal Technology,2016,35(12):183-185.
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