基于纯相位滤波器的子波相位校正方法研究

针对子波相位提取不准确影响反褶积后地震剖面分辨率的问题，提出了一种基于纯相位滤波器的子波相位校正方法来校正子波残余相位，以提高反褶积后地震剖面的分辨率。该方法采用自回归滑动平均(Autoregressive moving average,ARMA)模型和单位化振幅谱的方式构造纯相位滤波器，以描述任意特性的子波残余相位;在最大方差模准则约束下，采用改进的粒子群算法对子波残余相位进行寻优，最终实现反褶积结果中子波残余相位的校正。正演模拟数据和实际地震资料处理结果表明了该方法的有效性和实用性。

 In order to solve the problem that the seismic section resolution was not improved significantly after deconvolution in the condition of inaccurate seismic wavelet phase estimation,a wavelet correction method based on phase-only filter was proposed to correct seismic wavelet residual phase,and improve the seismic section resolution.Autoregressive moving average (ARMA) model and normalizing amplitude spectrum were used to construct phase-only filter in order to describe seismic wavelet residual phase with any characteristics.Under the constraint of maximum variance norm criterion,improved particle swarm algorithm were used for wavelet residual phase optimization,finally wavelet residual phase was corrected in deconvolution results.The simulation experiment and real seismic data processing results show that this approach is effective and feasible.