Reflectivity sparsity-constrained joint migration inversion for VTI media

IF 2.1 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Yifei Chen, Deli Wang, Bin Hu, Shiqi Lv
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引用次数: 0

Abstract

Traditional joint migration inversion (JMI) algorithm for anisotropic media, rooted in one-way wave equation, simulate wave propagation in VTI media. VTI-JMI performs reflectivity migration and velocity models inversion by minimizing the mismatch between observed and modelled data. This paper integrates a reflectivity-constrained velocity estimation algorithm into the VTI-JMI framework to mitigate the impact of parameter trade-offs and noise accumulation in VTI-JMI. The proposed approach constructs a regularization constraint term by utilizing residual between iterative reflectivity and reflectivity approximated from the estimated velocity to refine velocity updates. Moreover, it incorporates the Non-subsampled Shearlet transform (NSST) to achieve multiscale sparse denoising of reflectivity image, for enhancing constraint quality. The constraint does not require large extra computational costs and accurate initial models. Compared to traditional VTI-JMI, the proposed method significantly reduces noise in reflectivity image, while achieving higher precision in velocity models with sharper reflectors. Numerical experiments demonstrate the validity of our proposed algorithm.
VTI介质反射率稀疏约束联合偏移反演
传统的各向异性介质联合偏移反演(JMI)算法基于单向波动方程,模拟VTI介质中的波传播。VTI-JMI通过最小化观测数据和模拟数据之间的不匹配来执行反射率迁移和速度模型反演。本文将反射约束速度估计算法集成到VTI-JMI框架中,以减轻VTI-JMI中参数权衡和噪声积累的影响。该方法利用迭代反射率与估计速度近似反射率之间的残差构造正则化约束项,对速度更新进行细化。并结合非下采样Shearlet变换(NSST)对反射率图像进行多尺度稀疏去噪,提高约束质量。该约束不需要大量的额外计算成本和精确的初始模型。与传统的VTI-JMI相比,该方法显著降低了反射率图像中的噪声,同时在具有更清晰反射镜的速度模型中实现了更高的精度。数值实验证明了该算法的有效性。
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来源期刊
Journal of Applied Geophysics
Journal of Applied Geophysics 地学-地球科学综合
CiteScore
3.60
自引率
10.00%
发文量
274
审稿时长
4 months
期刊介绍: The Journal of Applied Geophysics with its key objective of responding to pertinent and timely needs, places particular emphasis on methodological developments and innovative applications of geophysical techniques for addressing environmental, engineering, and hydrological problems. Related topical research in exploration geophysics and in soil and rock physics is also covered by the Journal of Applied Geophysics.
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