高应力区微震监测信号特征分析
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摘要
如何识别不同微震信号,尤其是快速识别冲击危险信号,以便及时采取解危措施,是微震监测中亟待解决的问题.以三河尖矿9202采面过上覆煤柱高应力区为背景,通过微震信号的时-频分析技术,总结提炼了不同微震信号的重要波形特征.研究表明:不同微震信号在频率特征、信号持续时间、释放能量等多方面都存在区别,冲击矿压波形有震幅大、衰减快、尾波较发育、频带分布较窄等重要特征.通过对微震信号的特征分析,有助于深入揭示微震监测的震源机理,进一步推动冲击矿压的预测预报工作.
In an high stressed area,How to identify different micro-seismic monitoring signals,especially how to recognize those dangerous signals fleetly and take measures in time is an urgent problem to besolved.Based on the instance of No.9202 working face across the upper remained coal pillar in Sanhejian Mine,the character of signals caused by different hypocenters had been summarized and abstracted by using the time-frequency analysis method.The results show that the signals are different in frequency,duration,released energy,and so on and the waveform of rock burst is characterized by big seismic amplitude,fast taperoff,developed tail-wave and narrowly distributed bandwidth.This result is useful in promoting the forecast of rock burst.
In an high stressed area,How to identify different micro-seismic monitoring signals,especially how to recognize those dangerous signals fleetly and take measures in time is an urgent problem to besolved.Based on the instance of No.9202 working face across the upper remained coal pillar in Sanhejian Mine,the character of signals caused by different hypocenters had been summarized and abstracted by using the time-frequency analysis method.The results show that the signals are different in frequency,duration,released energy,and so on and the waveform of rock burst is characterized by big seismic amplitude,fast taperoff,developed tail-wave and narrowly distributed bandwidth.This result is useful in promoting the forecast of rock burst.
引文
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[3]郭然,潘长良.有岩爆倾向硬岩矿床采矿理论与技术[M].北京:冶金工业出版社,2003.
[4]林盛,刘业新,李衍达.基于时一频分解技术的全波列声波测井信号处理[J].清华大学学报:自然科学版,1997,37(3):63-66.LIN Sheng,LIU Ye-xin,LI Yan-da.Full waveformsonic data processing using time-frequency decompo-sition[J].Journal of Tsinghua University:Scienceand Technology,1997,37(3):63-66.
[5]李玉,黄梅,廖国华,等.冲击地压发生前微震活动时空变化的分析特征[J].北京科技大学学报,1995,17(1):10-13.LI Yu,HUANG Mei,LIAO Guo-hua,et al.Fractalcharacter of the time-Space change of microseismicitybefore coal outbursts or rockbursts[J].Journal of U-niversity of Science and Technology Beijing,1995,17(1):10-13.
[6]陆菜平,窦林名,吴兴荣,等.岩体微震监测的频谱分析与信号识别[J].岩土工程学报,2005,27(7):772-775.LU Cai-ping,DOU Lin-ming,WU Xing-rong,et al.Frequency spectrum analysis on microseismic monito-ring and signal differentiation of rock material[J].Chinese Journal of Geotechnical Engineering,2005,27(7):772-775.
[7]SLAWOMIR J G,ANDRZEJ K.矿山地震学引论[M].北京:地震出版社,1998.
[8]秦玉红.矿井开采引发矿震规律及其应用研究[D].徐州:中国矿业大学能源与安全工程学院,2005.
[2]窦林名,赵从国,杨思光,等.煤矿开采冲击矿压灾害防治[M].徐州:中国矿业大学出版社,2006.
[3]郭然,潘长良.有岩爆倾向硬岩矿床采矿理论与技术[M].北京:冶金工业出版社,2003.
[4]林盛,刘业新,李衍达.基于时一频分解技术的全波列声波测井信号处理[J].清华大学学报:自然科学版,1997,37(3):63-66.LIN Sheng,LIU Ye-xin,LI Yan-da.Full waveformsonic data processing using time-frequency decompo-sition[J].Journal of Tsinghua University:Scienceand Technology,1997,37(3):63-66.
[5]李玉,黄梅,廖国华,等.冲击地压发生前微震活动时空变化的分析特征[J].北京科技大学学报,1995,17(1):10-13.LI Yu,HUANG Mei,LIAO Guo-hua,et al.Fractalcharacter of the time-Space change of microseismicitybefore coal outbursts or rockbursts[J].Journal of U-niversity of Science and Technology Beijing,1995,17(1):10-13.
[6]陆菜平,窦林名,吴兴荣,等.岩体微震监测的频谱分析与信号识别[J].岩土工程学报,2005,27(7):772-775.LU Cai-ping,DOU Lin-ming,WU Xing-rong,et al.Frequency spectrum analysis on microseismic monito-ring and signal differentiation of rock material[J].Chinese Journal of Geotechnical Engineering,2005,27(7):772-775.
[7]SLAWOMIR J G,ANDRZEJ K.矿山地震学引论[M].北京:地震出版社,1998.
[8]秦玉红.矿井开采引发矿震规律及其应用研究[D].徐州:中国矿业大学能源与安全工程学院,2005.
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