基于局部相似度的非稳态相位校正方法

针对常规的常相位校正方法无法满足非稳态相位校正的精度要求,滑动时窗常相位校正方法虽然可以在一定程度上考虑相位的非稳态特性,但是其前提是相位变化分段平稳,因此该方法的精度有限,而且难以控制时窗大小,容易产生不稳定等问题。本文将相位估计看成最小二乘反演问题,在局部地震属性的框架下,根据最大方差模和相似系数的概念,利用零相位判别准则,实现了一种基于局部相似系数的非稳态相位校正方法。相对于滑动时窗常相位校正方法,本文方法精度更高、稳定性更好。理论模型和实际资料处理表明,本文方法可以有效实现信号的零相位化,改善叠加效果,提高地震资料的分辨率。

Non-stationary phase correction based on local similarity

Conventional constant phase correction is not accurate enough when processing non-stationary data.Even though non-stationarity can be taken into account by constant phase correction method combined with moving-window technology in some sense, but t has limited accuracy and is not stable because of the piecewise-stationarity assumption.Moreover, tt is difficutt to control the moving window size.According to zero-phase criterion, we cast the phase-estimation problem into a leas-squares inverse problem and propose a non-station-ary phase correction method with the concept of kurtosis and similarity maximization under the framework of local attributes.Compared with the moving-window technology, the proposed method is more accurate and more stable to process non-stationary seismic data.Synthetic and real data examples demonstrate that the proposed method can improve the quality of stack protile and enhance the resolution of seismic data after zero-phasing effectively.