矿井槽波地震数据极化特征分析

矿井槽波地震采集数据中，包含有多种类型地震波，这些波常常叠合在一起，使得槽波信号提取困难。根据槽波质点振动极化特征差异，提出基于S变换的自适应协方差矩阵槽波极化分析方法，构建时频域自适应协方差矩阵，依据矩阵特征值和特征向量计算椭圆率和方位角极化参数，通过极化参数分析信号振动轨迹特征，设置极化滤波器，对槽波水平双分量信号进行波场分离。通过理论合成信号测试，利用信号在时频域振动极化特征可以分离在时间域和频率域叠合的信号；实际槽波数据极化分析发现，线性极化的勒夫型槽波和椭圆极化的瑞利型槽波基本复合在一起，通过时频域极化滤波可以有效分离。

Polarization characteristic analysis of in-seam seismic data

There are several types of seismic waves in in-seam seismic exploration.These waves always compose together.It’s difficult to extract channel wave signal and causes interference to seismic data processing.According to the characteristic difference of channel wave particle vibration，this paper proposed a polarization analysis method based on adaptive covariance matrix in time-frequency domain for channel waves.Using the eigenvalues and eigenvectors of this matrix to compute ellipticity and azimuth polarization parameters，authors analyzed signal vibration trajectory characteristic.Horizontal dual component signal of channel wave field could be separated by setting up polarization filter with polarization parameters.Through theoretical synthetic signal test，polarization vibration characteristic was accurately described in time-frequency domain and the composition signal in time domain and frequency domain was separated completely.In practical in-seam seismic data polarization analysis，the results show that linear polarization love wave and elliptical polarization Rayleigh wave are nearly composited together.Using this method，channel wave can be clearly separated in time-frequency domain.