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针对提高陆上转换波地震资料的品质,为了更好的识别和压制三分量地震记录中的强面波干扰,本文结合复偏振分析和瞬时极化分析,提出了一种能有效压制陆上三分量记录中强面波干扰的自适应极化滤波方法。该方法综合应用了面波椭圆平面偏振、能量强、视速度低以及频带低特征。在给定的面波时窗内低通滤波,采用依赖面波主频的滑动重叠时窗,进行复协方差本征值分解,由主特征向量建立面波模型,利用瞬时极化面积属性和面波区平均能量约束,检测和识别面波,最后自适应减去。这种方法的门槛值稳定,易于选取,适应性强,是一种稳健的极化滤波方法。模型和实际资料的试算结果,表明该方法能有效的识别和衰减面波,能较好地保护有效信号。
In order to improve the quality of the converted seismic data of land-based seismic waves, in order to better identify and suppress the strong surface wave interference in the three-component seismic record, this paper presents a method that can effectively suppress the over-the- Adaptive Polarimetric Filtering of Strong Surface Wave Interference in Component Recording. The method combines surface wave elliptic plane polarization, strong energy, low apparent velocity and low band characteristics. In a given surface wave time-window low-pass filtering, using overlapping sliding window dependent on surface wave frequency, the complex covariance eigenvalue decomposition is carried out. The principal surface eigenvector is used to establish the surface wave model. Using the instantaneous polarization area property and The average energy constraint in the surface wave region, detection and identification of surface waves, and finally adaptive subtraction. The threshold of this method is stable, easy to choose, strong adaptability, is a robust polarization filtering method. The trial results of the model and the actual data show that this method can effectively identify and attenuate the surface waves and can effectively protect the effective signal.