【摘要】 横波分裂是各向异性介质的重要特征,当横波或转换波穿过各向异性介质到达地面时,地面三分量检波器的x分量和y分量接收到的地震记录中都会同时存在快横波和慢横波。将快横波和慢横波进行分离,进而计算介质的各向异性参数是多分量数据处理中重要的一步。将数学中的Pearson相关系数引入到多分量地震勘探中,提出了Pearson相关系数法进行旋转角度识别,进而分离快、慢横波波场。相比于传统的互相关法,Pearson相关系数法从精度、抗噪性能和计算效率上都有提高。更多还原

【Abstract】 Shear-wave splitting is an important characteristic of anisotropic media.Generally,when S or P-SV waves reach to the ground through anisotropic media,the seismic record received by x component and y component of three-component detector contains fast wave and slow wave simultaneously.Separating fast wave and slow wave and then calculating the anisotropic parameters of media are an important step in multi-component data processing.The authors introduce the Pearson correlation coefficients into multi-component seismic exploration and propose the Pearson correlation coefficients to detect the rotation angle and then separate the fast wave and slow wave.Compared with the traditional cross-correlation method,the Pearson correlation coefficient method is better in accuracy,noise immunity and computational efficiency.更多还原