石油物探2026，Vol.65Issue(2)：247-259,13.DOI:10.12431/issn.1000-1441.2024.0209
基于迭代光滑动态时间规整算法的共成像点道集优化叠加方法
An optimized stacking method for common-image gathers based on iterative smooth dynamic time warping
摘要
Abstract
Prestack depth migration is crucial to seismic imaging.However,its application to complex structures is impeded by the limitations of migration velocity analysis.The inaccuracies in the reconstructed velocity model lead to curved events in common-image gathers,which consequently reduce the precision of stacking.Dynamic time warping(DTW)addresses curved event correction by matching the similarity between a reference trace and other traces.However,significant amplitude differences between traces or low signal-to-noise ratios can lead to mismatch,resulting in waveform distortion and poor trace alignment.To solve this problem,this paper proposes a new method based on the iterative smooth dynamic time warping(ISDTW)algorithm.This method introduces smoothness constraints and an iterative strategy to optimize the warping path and thereby enhances the accuracy and consistency of trace alignment.Especially under complex geological conditions,ISDTW demonstrates improved imaging performance.Synthetic and field data tests validate the notable advantages of ISDTW in reducing local matching errors and improving the quality of the stacked data.关键词
迭代光滑动态时间规整/共成像点道集/叠前深度偏移/道集叠加/地震成像Key words
iterative smooth dynamic time warping/common-image gather/prestack depth migration/gather stacking/seismic imaging分类
能源科技引用本文复制引用
李慧,赵海波,宫宝,王依萌,刘津冶,赵禹润..基于迭代光滑动态时间规整算法的共成像点道集优化叠加方法[J].石油物探,2026,65(2):247-259,13.基金项目
中国石油天然气集团有限公司科学研究与技术开发项目(2021DJ18)资助. This research is financially supported by the Science and Technology Project of China National Petroleum Corporation(Grant No.2021DJ18). （2021DJ18）
