Non-stationary phase correction based on local similarity
Liu Yujin1, Li Zhenchun1, Guo Kai2
1. College of Geosciences,China University of Petroleum,Qingdao,Shandong 266555,China;
2. Geophysical Research Institute,Sinopec,Nanjing,Jiangsu 210014,China
Abstract：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.
刘玉金, 李振春, 郭恺. 基于局部相似度的非稳态相位校正方法[J]. 石油地球物理勘探, 2012, 47(6): 887-893.
Liu Yujin, Li Zhenchun, Guo Kai. Non-stationary phase correction based on local similarity. OGP, 2012, 47(6): 887-893.
