基于时频域极化滤波的勒夫型槽波提取

矿井槽波地震勘探数据中，含有多种类型地震波，包括线性极化的纵波、横波、勒夫型槽波和椭圆极化的瑞利型槽波。由于槽波频散现象严重，不同类型槽波互相重叠，在地震记录上难以区分，合理地进行波场分离是槽波数据处理的重要环节。根据不同类型槽波振动极化特征，提出基于S变换的时频域自适应协方差矩阵极化滤波方法；在时频域中，针对槽波水平双分量信号建立自适应协方差矩阵；利用矩阵对应特征值和特征向量，计算椭圆率和方位角参数来描述槽波极化振动特征；依据极化参数建立极化滤波函数，对槽波地震信号进行波场分离。经过理论合成信号和实际数据测试表明，该方法可以有效地从槽波地震记录中提取出勒夫型槽波，避免其它类型地震波在槽波数据处理过程中产生的干扰，为槽波地震勘探数据处理提供新的技术手段。 

Love channel wave extraction based on polarization filter in time-frequency domain

There are several types of seismic waves in in-seam seismic exploration, including P-wave, S-wave, linear polarization Love wave and elliptical polarization Rayleigh wave. Since channel wave dispersion is serious, those waves composite together in seismic data and are difficult to differentiate. It's very important to find wave field separation method for in-seam seimic data processing. Depending on seismic vibration polarization characteristic, the paper proposed an adaptive covariance matrix method for polarization filter based on S transform in time-frequency domain. It processed horizontal dual component of channel waves signal and used eigenvalues and eigenvectors of this matrix to get ellipticity and azimuth polarization distribution, establish polarization filtering function by these parameters and process wave field separation of in-seam seimic signal. Theoretical synthetic signal and practical data tests showed that this method can effectively extract Love channel wave from in-seam seismic record. It can avoid interference with other types of seismic waves in channel waves and provide a new technology for in-seam seismic data processing.