基于相关迭代的非因果匹配滤波器多次波压制方法  

Non-causal matching filter multiple elimination method based on correlation and iteration

作　　者：董烈乾 李振春[1] 杨少春[1] 王德营 王姣 

机构地区：[1]中国石油大学(华东)地球科学与技术学院,青岛266555

出　　处：《地球物理学报》2013年第10期3542-3551,共10页Chinese Journal of Geophysics

基　　金：国家自然科学基金(40974073);国家高技术研究发展计划(2011AA060301);国家科技重大专项课题(2011ZX05006-002)资助

摘　　要：针对常规多次波压制(SRME)方法存在的缺陷进行了改进.首先在多次波模型道预测阶段,采用数据相关和迭代更新的策略预测多次波模型道,该方法降低了SRME方法采用数据空间褶积对输入数据要求严格的限制,提高了对近偏移距缺失和空间假频数据的适应性.在匹配相减阶段,本文设计了一种非因果非平稳的匹配滤波器,该滤波器可以对整道多次波模型进行处理,而且当预测多次波模型道滞后于实际多次波时,也能够对多次波模型道进行很好的匹配.模型数据和实际数据试算证明该方法在多次波模型道预测和匹配相减阶段的优越性.In this paper, an improved method is proposed to overcome the shortcomings of conventional method of surface-related multiple elimination （SRME）. Firstly, multiple model is predicted by data correlation and iterative update. The method can decrease the rigorous requirement of input data, however, which is needed in the method of SRME. Moreover, it can also improve the suitability of input data sets with near-offset deficiency or spatial aliasing. Secondly, a non-causal and non-stationary matching filter is designed, which can process an entire multiple model trace. In addition, even if the time of predictive multiple model is later than the actual multiple, the method still works well. Finally, applying the method to synthetical and field data sets indicates the superiority in multiple model prediction and matching subtraction.

关 键 词：多次波压制 空间褶积 数据相关 空间假频 非因果匹配滤波器 

分 类 号：P631[天文地球—地质矿产勘探]