Hankel矩阵滤波在微地震数据处理中的应用
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摘要
针对微地震信号能量弱、信噪比偏低的问题,将基于Hankel矩阵的滤波算法引入微地震信号处理中,用于衰减微地震信号中的随机噪音,提高微地震事件波至时间的拾取精度;采用Akaike信息准则(AIC)自动选取信号特征值,能适用于微地震事件的实时自动处理。与常规滤波方法相比,该方法在压制噪音的同时保护了微地震信号,其有效性和实用性在模型数据和实际微地震数据测试中得到了验证。
Aiming at the problems of weak enengy of microseismic signals and low SNR a filtering algorithm based on Hankel matrix is introduced into microseismic data processing, it can attenuate random noise in microseismic data, and improve the picking accuracy of arrival of microseismic events; characteristic values of signals are automatically selected by using Akaike information criterion(AIC), so it can be applied to real time auto-processing of microseismic monitoring. The filtering method has better fidelity of the signal while attenuating the random noise, compared with the traditional methods. Synthetic data and real field data verify the validity and practicability of the method.
Aiming at the problems of weak enengy of microseismic signals and low SNR a filtering algorithm based on Hankel matrix is introduced into microseismic data processing, it can attenuate random noise in microseismic data, and improve the picking accuracy of arrival of microseismic events; characteristic values of signals are automatically selected by using Akaike information criterion(AIC), so it can be applied to real time auto-processing of microseismic monitoring. The filtering method has better fidelity of the signal while attenuating the random noise, compared with the traditional methods. Synthetic data and real field data verify the validity and practicability of the method.
引文
[1]宋维琪,何欣,吕世超.应用卡尔曼滤波识别微地震信号[J].石油地球物理勘探,2009,44(增刊1):34-38.
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[3]LIANG C,THORNTON M P,MORTON P,et al.Improving signal-to-noise ratio of passsive seismic data with an adaptive FK filter[C].Houston:SEG Houston 2009 International Exposition and Annual Meeting,2009:1703-1707.
[4]EISNER L,ABBOTT D,BARKER,et al.Noise suppression for detection and location of microseismic events using a matched filter[C].Las Vegas:SEG Las Vegas 2008 Annual Meeting,2008:1431-1435.
[5]朱卫星.相关滤波在微地震数据处理中的应用[J].勘探地球物理进展,2007,30(2):130-138.
[6]朱卫星,宋洪亮,曹自强,等.自适应极化滤波在微地震信号处理中的应用[J].勘探地球物理进展,2010,33(5):367-371.
[7]宋维琪,吕世超,郭晓中,等.提高微地震资料信噪比的频率域极化滤波[J].石油物探,2011,50(4):361-366.
[8]宋维琪,孙英杰,朱卫星.微地震资料频域相干-时间域偏振滤波方法[J].石油地球物理勘探,2008,43(2):161-167.
[9]朱卫星,宋维琪,修金磊,等.微地震信号的偏振-位置对比法震相分离技术[J].石油地球物理勘探,2009,44(4):425-429.
[10]AL-BANNAGI M S,FANG K,KELAMIS P G,et al.Acquisition footprint suppression via the truncated SVD technique:Case studies from Saudi Arabia[J].The Leading Edge,2005,24(8):832-834.
[11]余凯.基于本征图像滤波的地震资料噪声衰减方法研究[D].西安:西安交通大学,2011.
[12]MAEDA N.A method for reading and checking phase times in autoprocessing system of seismic wave data[J].Zisin,1985,38(3):365-379.
[2]WANG J,TILMANN F,WHITE R S,et al.Application of frequency dependent multichannel Wiener filters to detect events in 2D three component seismometer arrays[J].Geophysics,2009,74(6):133-141.
[3]LIANG C,THORNTON M P,MORTON P,et al.Improving signal-to-noise ratio of passsive seismic data with an adaptive FK filter[C].Houston:SEG Houston 2009 International Exposition and Annual Meeting,2009:1703-1707.
[4]EISNER L,ABBOTT D,BARKER,et al.Noise suppression for detection and location of microseismic events using a matched filter[C].Las Vegas:SEG Las Vegas 2008 Annual Meeting,2008:1431-1435.
[5]朱卫星.相关滤波在微地震数据处理中的应用[J].勘探地球物理进展,2007,30(2):130-138.
[6]朱卫星,宋洪亮,曹自强,等.自适应极化滤波在微地震信号处理中的应用[J].勘探地球物理进展,2010,33(5):367-371.
[7]宋维琪,吕世超,郭晓中,等.提高微地震资料信噪比的频率域极化滤波[J].石油物探,2011,50(4):361-366.
[8]宋维琪,孙英杰,朱卫星.微地震资料频域相干-时间域偏振滤波方法[J].石油地球物理勘探,2008,43(2):161-167.
[9]朱卫星,宋维琪,修金磊,等.微地震信号的偏振-位置对比法震相分离技术[J].石油地球物理勘探,2009,44(4):425-429.
[10]AL-BANNAGI M S,FANG K,KELAMIS P G,et al.Acquisition footprint suppression via the truncated SVD technique:Case studies from Saudi Arabia[J].The Leading Edge,2005,24(8):832-834.
[11]余凯.基于本征图像滤波的地震资料噪声衰减方法研究[D].西安:西安交通大学,2011.
[12]MAEDA N.A method for reading and checking phase times in autoprocessing system of seismic wave data[J].Zisin,1985,38(3):365-379.