基于高阶累积量的地震子波提取

在地震勘探中,子波处理是提高地震资料分辨率的一个重要手段,而该技术的关键是地震子波的估计.由于影响地震波的因素太多且复杂,使得子波的提取始终是一个十分困难的问题.传统的提取子波的方法主要利用地震记录的二阶统计信息,然而由于二阶统计量并不包含相位信息,因而无法解决非最小相位的物理问题.鉴于信号高阶累积量的性质和特点,利用高阶累积量来达到提取地震子波的目的.

Seismic wavelet extraction based on high-order cumulant

In seismic exploration,wavelet processing is an important technique used to improve the resolution of seismic data,in which the key is wavelet estimation.Due to the factors which are influence the wavelet are too much and complex,making the wavelet extraction is always very difficult.The traditional method of the wavelet extraction is mainly using second-order statistical information of seismic data,however,because of second-order cumulant have no phase information.They will not be used to solve physical problem of non-minimum phase.Based on the properties and features of higher order cumulant,higher-order cumulant to extract earthquake wavelet are used.