Angle-dependent image-domain least-squares migration through analytical point spread functions

GEOPHYSICS Pub Date : 2024-07-02 DOI:10.1190/geo2023-0499.1
Wei Zhang, Xuebao Guo, Matteo Ravasi, Jinghuai Gao, Wenbo Sun
{"title":"Angle-dependent image-domain least-squares migration through analytical point spread functions","authors":"Wei Zhang, Xuebao Guo, Matteo Ravasi, Jinghuai Gao, Wenbo Sun","doi":"10.1190/geo2023-0499.1","DOIUrl":null,"url":null,"abstract":"Image-domain least-squares migration (IDLSM) is an established approach to recover high-fidelity seismic images of subsurface reflectors; this is achieved by removing the blurring effects of the Hessian operator in the standard migration approach with the help of so-called point spread functions (PSFs). However, most of the existing IDLSM approaches recover an angle-independent image of the subsurface reflectors, which is not suitable for subsequent amplitude versus angle (AVA) analysis. To overcome this limitation, we have developed an angle-dependent IDLSM approach, denoted as AD-IDLSM, which can recover a high-fidelity and high-resolution angle-dependent reflectivity image of subsurface reflectors. The problem is formulated here as an angle-dependent image-domain inversion with PSFs computed by means of full-wave Green's function. More specifically, we derive an analytical expression to compute angle-dependent PSFs by means of a wave-equation-based Kirchhoff migration (WEBKM) engine, where a localization assumption is made in both spatial directions to decrease the computational cost and memory overhead. The amplitude and traveltime of the Green's functions involved in the WEBKM approach are estimated by the excitation-amplitude and excitation-time of the full-wave wavefield. The scattering angle is then approximately estimated from the Poynting vector of the excitation-time field. To stabilize the solution of AD-IDLSM, we utilize a regularization scheme that applies a second derivative along the direction of the reflection angle of angle-domain common-image gathers (ADCIGs) to ensure continuity in the amplitude variations versus angle and suppress migration artifacts. We demonstrate the effectiveness of the AD-IDLSM approach through two synthetic data and a field marine dataset; the presented results confirm that AD-IDLSM can create ADCIGs with higher spatial resolution, better amplitude-fidelity, and fewer migration artifacts, compared to those obtained by its migration counterpart. Moreover, AD-IDLSM amplitude variations with angle are shown to closely resemble the theoretical AVA curve of the reflectors.","PeriodicalId":509604,"journal":{"name":"GEOPHYSICS","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GEOPHYSICS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1190/geo2023-0499.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Image-domain least-squares migration (IDLSM) is an established approach to recover high-fidelity seismic images of subsurface reflectors; this is achieved by removing the blurring effects of the Hessian operator in the standard migration approach with the help of so-called point spread functions (PSFs). However, most of the existing IDLSM approaches recover an angle-independent image of the subsurface reflectors, which is not suitable for subsequent amplitude versus angle (AVA) analysis. To overcome this limitation, we have developed an angle-dependent IDLSM approach, denoted as AD-IDLSM, which can recover a high-fidelity and high-resolution angle-dependent reflectivity image of subsurface reflectors. The problem is formulated here as an angle-dependent image-domain inversion with PSFs computed by means of full-wave Green's function. More specifically, we derive an analytical expression to compute angle-dependent PSFs by means of a wave-equation-based Kirchhoff migration (WEBKM) engine, where a localization assumption is made in both spatial directions to decrease the computational cost and memory overhead. The amplitude and traveltime of the Green's functions involved in the WEBKM approach are estimated by the excitation-amplitude and excitation-time of the full-wave wavefield. The scattering angle is then approximately estimated from the Poynting vector of the excitation-time field. To stabilize the solution of AD-IDLSM, we utilize a regularization scheme that applies a second derivative along the direction of the reflection angle of angle-domain common-image gathers (ADCIGs) to ensure continuity in the amplitude variations versus angle and suppress migration artifacts. We demonstrate the effectiveness of the AD-IDLSM approach through two synthetic data and a field marine dataset; the presented results confirm that AD-IDLSM can create ADCIGs with higher spatial resolution, better amplitude-fidelity, and fewer migration artifacts, compared to those obtained by its migration counterpart. Moreover, AD-IDLSM amplitude variations with angle are shown to closely resemble the theoretical AVA curve of the reflectors.
通过分析点扩散函数进行与角度相关的图像域最小二乘迁移
图像域最小二乘迁移(IDLSM)是恢复地下反射体高保真地震图像的一种成熟方法;这是通过借助所谓的点扩散函数(PSF)消除标准迁移方法中黑森算子的模糊效应来实现的。然而,大多数现有的 IDLSM 方法恢复的是与角度无关的地下反射体图像,不适合后续的振幅与角度(AVA)分析。为了克服这一局限性,我们开发了一种与角度相关的 IDLSM 方法,称为 AD-IDLSM,它可以恢复高保真、高分辨率的与角度相关的地下反射体反射率图像。在这里,问题被表述为与角度相关的图像域反演,PSF 通过全波格林函数计算。更具体地说,我们通过基于波方程的基尔霍夫迁移(WEBKM)引擎,推导出了计算随角度变化的 PSF 的解析表达式,其中在两个空间方向上都做了定位假设,以降低计算成本和内存开销。WEBKM 方法中涉及的格林函数的振幅和行进时间是通过全波波场的激发振幅和激发时间估算出来的。然后根据激发-时间场的 Poynting 向量近似估算散射角。为了稳定 AD-IDLSM 的解法,我们采用了正则化方案,沿角域共像采集(ADCIG)的反射角方向进行二次导数,以确保振幅变化与角度关系的连续性,并抑制迁移伪影。我们通过两个合成数据和一个野外海洋数据集证明了 AD-IDLSM 方法的有效性;所展示的结果证实,AD-IDLSM 能够创建空间分辨率更高、振幅保真度更好的 ADCIGs,而且与通过迁移法获得的 ADCIGs 相比,迁移伪影更少。此外,AD-IDLSM 的振幅随角度的变化与反射体的理论 AVA 曲线非常相似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信