海洋地质前沿2025，Vol.41Issue(9)：81-91,11.DOI:10.16028/j.1009-2722.2024.188
基于光流矢量行波分离的TTI介质弹性波逆时偏移成像及其在黄海油气田勘探中的应用
Reverse time migration of elastic wave in TTI medium based on wavefield decomposition using optical flow vector and its application in oil and gas exploration in the Yellow Sea
摘要
Abstract
Reverse time migration(RTM)based on the elastic wave equation in Tilted Transversely Isotropic(TTI)medium has significant advantages in imaging of middle and deep complicated geological structures.However,TTI RTM,being rooted in a two-way wave equation,inevitably generates substantial low-wavenumber noise when applying cross-correlation imaging conditions.Although the cross-correlation imaging conditions based on the Poynting vector wavefield decomposition can suppress the low-wavenumber noise to a certain extent,it is difficult to accurately indicate the propagation direction of the wave field,and it is easy to appear instability in the calculation process.In this study,we applied the wavefield decomposition technology based on optical flow vector to the TTI medium elastic wave reverse time migration.Based on the optical flow vector,the source wave-fields and receiver wavefields could be decomposed clearly.With the cross-correlation imaging conditions and the weighted imaging strategy,the high precision imaging section could be obtained.The processing of the real seis-mic data from the Yellow Sea area showed that compared to the Poynting vector,the optical flow vector could more accurately and stably achieve the decomposition of elastic waves in TTI medium,based on which the cross-correlation weighted processing of the decomposed section could more effectively suppress low wavenumber noise in the imaging section and improve imaging quality,show wide application prospects of this new techno-logy.关键词
光流矢量/TTI/逆时偏移/黄海Key words
optical flow vector/TTI/reverse time migration/the Yellow Sea分类
天文与地球科学引用本文复制引用
李江,王志亮,麻旭刚,徐强,田振兴,刘光照,宋鹏,姜秀萍..基于光流矢量行波分离的TTI介质弹性波逆时偏移成像及其在黄海油气田勘探中的应用[J].海洋地质前沿,2025,41(9):81-91,11.基金项目
国家自然科学基金(42074138) （42074138）
崂山实验室科技创新项目(LSKJ202204803) （LSKJ202204803）
