石油物探2018，Vol.57Issue(2)：213-221,9.DOI:10.3969/j.issn.1000-1441.2018.02.006
基于压缩傅里叶算法的五维插值技术在改善振幅一致性中的应用
Five-dimensional interpolation based on a compact Fourier technique to improve the consistency of seismic amplitude
摘要
Abstract
Irregular distribution of sources and receivers owing to topography in seismic acquisition can cause reflection amplitude consistency,greatly impacting the follow-up pre-stack attribute analysis and reservoir prediction.Therefore,a five-dimensional interpolation technique based on the compact Fourier algorithm for seismic data regularization is proposed.The technique optimally selects a maximum spatial wavenumber with a root mean square error that meets the set minimum threshold via scanning to calculate the required interpolation weight coefficient.The technique accounts for inline,crossline,offset,azimuth,and time information to improve the consistency of the amplitude after interpolation,and introduces a local dip moveout to improve the anti-aliasing ability.Irregular seismic field data tests showed that,after regularization,the sources and receivers could distribute regularly and the uniformity of the fold and consistency of seismic amplitude were both improved,validating the proposed technique.关键词
五维插值技术/不规则观测系统/数据规则化/压缩傅里叶插值算法/振幅一致性Key words
five-dimensional interpolation/irregular seismic geometry/data regularization/compact Fourier algorithm/consistency of seismic amplitude分类
天文与地球科学引用本文复制引用
齐鹏,胡玮,管文华,汤国松,刘立民..基于压缩傅里叶算法的五维插值技术在改善振幅一致性中的应用[J].石油物探,2018,57(2):213-221,9.基金项目
江苏石油勘探局科技项目“苏北盆地中浅层气藏地震处理及检测方法研究”项目(JS17005)资助.This research is financially supported by the Project of Jiangsu Oil Exploration Corporation (Grant No.JS17005). （JS17005）
