掘进巷道煤体瓦斯特征与震波频率特性研究
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摘要
通过多次在突出煤层掘进巷道迎头进行震波探测试验,并使用频谱分析和时频分析技术得到各巷道的单道震波信号的频率参数,对比分析各条巷道对应的瓦斯检验参数,建立起煤体瓦斯绝对涌出量与震波频率参数的关系:震波能量主要集中在两个独立的频率域内,高频区和低频区分别对应了震波的主频和次主频;随着煤体瓦斯含量的增大,震波的主频和次主频相应降低,且次主频对瓦斯含量的变化更为灵敏。利用震波频率参数预测掘进巷道迎头附近瓦斯含量,可为瓦斯突出危险性预测提供一种新的参数。
Through multiple seismic wave detective tests at the outburst coal seam heading face,and using spectrum and time-frequency analysis techniques obtain roadway single channel seismic signal frequency parameters.Contrastively analyze roadway corresponding checked parameters and establish relationship between coal mass gas absolute emission and seismic wave frequency parameters.Seismic wave energy is mainly concentrated in two independent frequency domains: high frequency and low frequency regions corresponding seismic wave basic frequency and secondary basic frequency respectively.Along with gas content in coal mass increasing,basic frequency and secondary basic frequency decreasing correspondingly and basic frequency will be more sensitive to gas content variation.Using seismic wave frequency to predict gas content near the advancing roadway heading face can provide a new parameter in gas outburst hazard prediction.
Through multiple seismic wave detective tests at the outburst coal seam heading face,and using spectrum and time-frequency analysis techniques obtain roadway single channel seismic signal frequency parameters.Contrastively analyze roadway corresponding checked parameters and establish relationship between coal mass gas absolute emission and seismic wave frequency parameters.Seismic wave energy is mainly concentrated in two independent frequency domains: high frequency and low frequency regions corresponding seismic wave basic frequency and secondary basic frequency respectively.Along with gas content in coal mass increasing,basic frequency and secondary basic frequency decreasing correspondingly and basic frequency will be more sensitive to gas content variation.Using seismic wave frequency to predict gas content near the advancing roadway heading face can provide a new parameter in gas outburst hazard prediction.
引文
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[2]彭苏萍,高云峰,杨瑞召,等.AVO探测煤层瓦斯富集的理论探讨和初步实践[J]地球物理学报,2005,48(6):1475-1485.
[3]杨双安,张会星.三维地震资料预测瓦斯富集区的应用[J].煤炭科学技术,2009(8);108-110.
[4]刘盛东,赵秋芳,等.煤体瓦斯特征与震波参数关系的试验研究[J].煤炭科学技术,2005,33(11):99-102.
[5]汪志军,刘盛东,路拓,等.煤体瓦斯与地震波属性的相关性试验[J].煤田地质与勘探,2010,39(5):63-65.
[6]刘盛东,张平松.矿井构造与瓦斯的震波超前探测技术应用分析[J].煤炭科学技术,2005,33(1):39-41.
[7]张平松,刘盛东,赵秋芳,等.淮南矿区煤层衰减特征及品质因子分析[J].煤炭科学技术,2006,5:83-84.
[8]胡昌华,张军波,夏军,等.基于MATLAB的系统分析与设计-小波分析[M].西安:西安电子科林大学出版社,1999.
[9]刘晓彬,杨起明.小波分析在无损检测中的应用[J].中山大学学报,2004.
[10]杨真.基于ISS的薄煤层采空边界探测理论与试验研究[D].江苏徐州:中国矿业大学,2009.
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