工程尺度下微震信号及P波初至自动识别AB算法

doi:10.13722/j.cnki.jrme.2016.0178

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摘要为提高工程噪音环境中低信噪比微震信号的自动识别率及其P波自动拾取准确率，结合Allen算法能快速自动拾取震动信号的优点及Bear算法善于拾取低信噪比震动信号P波初至的优势，在Allen算法的基础上，引入Bear算法的加权因子和特征函数，对Allen算法进行改进，提出适用于工程尺度的微震信号及P波初至自动识别的AB(Allen coupled with Bear algorithm)算法。分析AB算法对信号振幅或频率变化的敏感性以及拾取效果，结果表明：(1) AB算法能准确识别微震信号也能同时准确自动拾取信号的P波初至；(2) AB算法的加权因子K、特征函数CF，值对频率和振幅变化的敏感性高于Allen算法；(3) AB算法对振幅变化比对频率变化敏感；(4) 工程尺度下AB算法微震信号的拾取率高于Allen算法，且P波自动拾取准确率也高于Allen算法。将AB算法用于分析锦屏深部地下实验室实测微震信号：对于弱信号，基于AB算法拾取结果进行微震源定位，定位结果具有更高的可靠性与稳定性；AB算法是一种行之有效，计算简单，适合实时监测微震信号识别及其P波初至拾取。

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	李贤1
	王文杰1
	陈炳瑞2

关键词 ：岩石力学, 微震, P波拾取, 信号识别, AB算法

Abstract：To improve the recognition rate of microseismic signal with low SNR and the pickup accuracy of P wave in the engineering noise environment，Allen algorithm which can pick up microseismic signal automatically and quickly and Bear algorithm which is good at picking up the microseismic signal with low SNR at the beginning of the P wave were combined to form an AB algorithm with the introduction of Bear weighted factor and characteristic function on the basis of Allen algorithm. The AB algorithm can identify the microseismic signals accurately and accurately pick up the changed P wave automatically. The weighting factor K，characteristic function CF and value of AB algorithm have higher sensitivity to the changes of frequency and amplitude than Allen algorithm. The AB algorithm is more susceptive to the change of amplitude than frequency. The pickup rate of the seismic signal and the pickup accuracy of the automatic P wave in the AB algorithm are better than the Allen algorithm at the project scales. The analysis of the microseismic signal from the deep underground laboratory at Jinping shows that the positioning results of the microseismic sources exhibit higher reliability and stability based on the AB algorithm for the weak signal. The AB algorithm is confirmed to be effective，simple and suitable for the real time monitoring of microseismic signal and the pickup of first arrival of P wave.

Key words： rock mechanics microseism P-wave pickup signal recognition AB algorithm

引用本文:

李贤1，王文杰1，陈炳瑞2. 工程尺度下微震信号及P波初至自动识别AB算法[J]. 岩石力学与工程学报, 2017, 36(3): 681-689.
LI Xian1，WANG Wenjie1，CHEN Bingrui2. AB algorithm suitable for identifying the microseismic signal and#br# first arrival of P-wave automatically at the project scale. , 2017, 36(3): 681-689.

链接本文:

http://www.rockmech.org/CN/10.13722/j.cnki.jrme.2016.0178 或 http://www.rockmech.org/CN/Y2017/V36/I3/681

[9]	MAITY D. Novel hybrid ANN autopicker for hydrofrac data：A comparative study[C]// Seg Annual Meeting. [S. l.]：[s. n.]，2012：1-5. " target="_blank">
[18]	AKRAM J，EATON D. Adaptive microseismic event detection and automatic time picking[C]// GeoConvention Abstracts. [S. l.]：[s. n.]，2012：1-5. " target="_blank">
[2]	ALLEN REX V. Automatic earthquake recognition and timing from single traces[J]. Bulletin of the Seismological Society of America，1978，68(5)：1 521-1 532. " target="_blank">
[12]	CAPILLA C. Application of the Haar wavelet transform to detect microseismic signal arrivals[J]. Journal of Applied Geophysics，2006，59(1)：36-46. " target="_blank">
[22]	SLEEMAN R，VAN ECK T. Robust automatic P-phase picking：an on-line implementation in the analysis of broadband seismogram recordings[J]. Physics of the Earth and Planetary Interiors，1999，113(1)：265-275. " target="_blank">
[3]	ALLEN R. Automatic phase pickers：their present use and future prospects.[J]. Nihon Jinzo Gakkai Shi，1982，72(6)：146. " target="_blank">
[13]	武粤，孟小红，李淑玲. 小波分析及其在我国地球物理学研究中的应用进展[J]. 地球物理学进展，2012，27(2)：750-760.(WU Yue， MENG Xiaohong，LI Shuling. Wavelet analysis and its application in geophysics of China[J]. Progress in Geophysics，2012，27(2)：750-760.(in Chinese))
[23]	刘卫东，刘尚合，胡小锋，等. 小波阈值去噪函数的改进方法分析[J]. 高电压技术，2007，33(10)：59-63.(LIU Weidong，LIU Shanghe，HU Xiaofeng，et al. Analysis of modified method of wavelet threshold de-noising functions[J]. High Voltage Engineering，2007，33(10)：59-63.(in Chinese))
[1]	STEVENSON P R. Micro earthquakes at Flathead Lake，Montana：A study using automatic earthquake processing[J]. Bulletin of the Seismological Society of America，1976，66(1)：61-80. " target="_blank">
[4]	马强，金星，李山有，等. 用于地震预警的P波震相到时自动拾取[J]. 地球物理学报，2013，56(7)：2 313-2 321.( MA Qiang，JIN Xing，LI Shanyou，et al. Automatic P-arrival detection for earthquake early warning[J]. Chinese Journal Geophysics，2013，56(7)：2 313-2 321.(in Chinese))
[5]	吴治涛，李仕雄. STA/LTA算法拾取微地震事件P波到时对比研究[J]. 地球物理学进展，2010，25(5)：1 577-1 582.(WU Zhitao，LI Shixiong. Comparison of STA/LTA P-pickers for micro seismic monitoring[J]. Progress in Geophysics，2010，25(5)：1 577-1 582.(in Chinese))
[7]	ST-ONGE A. Akaike information criterion applied to detecting first arrival times on microseismic data[C]// Seg Technical Program Expanded Abstracts. [S. l.]：[s. n.]，2010：1 658-1 662. " target="_blank">
[15]	RODRIGUEZ I V. Automatic time-picking of microseismic data combining STA/LTA and the stationary discrete wavelet transform[C]// CSPG CSEG CWLS Convention，Convention Abstracts. [S. l.]：[s. n.]，2011：1-4. " target="_blank">
[17]	张唤兰. 微地震数值模拟及震源定位方法研究[博士学位论文][D]. 西安：西安科技大学，2014.(ZHANG Huanlan. Numerical simulation of microseismic and study on source location method[Ph. D. Thesis][D]. Xi?an：Xi?an University of Science and Technology，2014.(in Chinese)) " target="_blank">
[19]	刘晗，张建中. 微震信号自动检测的STA/LTA算法及其改进分析[J]. 地球物理学进展，2014，29(4)：1 708-1 714.(LIU Han，ZHANG Jianzhong. STA/LTA algorithm analysis and improvement of Microseismic signal automatic detection[J]. Progress in Geophysics，2014，29(4)：1 708-1 714.(in Chinese))
[25]	李清鹏. 深埋隧洞微震源定位方法研究[硕士学位论文][D]. 北京：中国科学院大学，2014.(LI Qingpeng. Study on microseismic source location method in deep-buried tunnel[M. S. Thesis][D]. Beijing：University of Chinese Academy of Sciences，2014.(in Chinese)) " target="_blank">
[10]	KÜPERKOCH L，MEIER T，LEE J，et al. Automated determination of P-phase arrival times at regional and local distances using higher order statistics[J]. Geophysical Journal International，2010，181(2)：1 159-1 170. " target="_blank">
[20]	BAER M，KRADOLFER U. An automatic phase picker for local and teleseismic events[J]. Bulletin of the Seismological Society of America，1987，77(4)：1 437-1 445. " target="_blank">
[6]	MAEDA N. A method for reading and checking phase times in auto-processing system of seismic wave data[J]. Zisin，1985，38(3)：365-379. " target="_blank">
[8]	张唤兰，朱光明，王云宏. 基于时窗能量比和AIC的两步法微震初至自动拾取[J]. 物探与化探，2013，37(2)：269-273.(ZHANG Huanlan，ZHU Guangming，WANG Yunhong. Automatic microseismic event detection and picking method[J]. Geophysical and Geochemical Exploration，2013，37(2)：269-273.(in Chinese))
[11]	刘劲松，王赟，姚振兴. 微地震信号到时自动拾取方法[J]. 地球物理学报，2013，56(5)：1 660-1 666.(LIU Jingsong，WANG Yun，YAO Zhenxing. On micro-seismic first arrival identification：A case study[J]. Chinese Journal Geophysics，2013，56(5)：1 660-1 666.(in Chinese))
[14]	吴治涛，骆循，李世雄. 联合小波变换与偏振分析自动拾取微地震P波到时[J]. 地球物理学进展，2012，27(1)：131-136.(WU Zhitao，LUO Xun，LI Shixiong. United wavelet transform and polarization analysis automatically identify micro seismic P-arrival[J]. Progress in Geophysics，2012，27(1)：131-136.(in Chinese))
[16]	周银兴. 微震事件检测及震相自动识别研究[硕士学位论文][D]. 北京：中国地震局地震预测研究所，2009.(ZHOU Yinxing. Study of microseismic events detection and automatic recognition of earthquake[M. S. Thesis][D]. Beijing：China Earthquake Administration Institute of Earthquake Prediction，2009.(in Chinese)) " target="_blank">
[21]	周彦文，刘希强. 地震事件自动检测新方法[J]. 西北地震学报，2008，30(2)：102-106.(ZHOU Yanwen，LIU Xiqiang. A new method of automatic seismic event detection[J]. China Earthquake Engineering Journal，2008，30(2)：102-106.(in Chinese))
[24]	徐宏斌，李庶林，陈际经. 基于小波变换的大尺度岩体结构微震监测信号去噪方法研究[J]. 地震学报，2012，34(1)：85-96.(XU Hongbin，LI Shulin，CHEN Jijing. A study on method of signal denoising based on wavelet transform for micro-seismicity monitoring in large-scale rockmass structures[J]. Acta Seismologica Sinica，2012，34(1)：85-96.(in Chinese))