Hankel矩阵滤波在微地震数据处理中的应用

Application of Hankel matrix filtering in microseismic data processing

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.