Inversion strategies for Q estimation in viscoacoustic full-waveform inversion

被引:0
作者
Yong, Peng [1 ,2 ]
Brossier, Romain [1 ]
Metivier, Ludovic [1 ,3 ]
机构
[1] Univ Grenoble Alpes, ISTerre, Grenoble, France
[2] Chinese Acad Sci, Inst Acoust, Beijing, Peoples R China
[3] Univ Grenoble Alpes, CNRS, LJK, Grenoble, France
关键词
GAUSS-NEWTON; ATTENUATION; TOMOGRAPHY; MEDIA; GRADIENT; DENSITY;
D O I
10.1190/GEO2023-0760.1
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Estimation of an attenuation parameter, represented by the quality factor Q , holds paramount importance in seismic exploration. One of the main challenges in Q estimation through viscoacoustic full-waveform inversion (FWI) is effectively decoupling Q from velocity. In this study, our objective is to enhance Q inversion by addressing critical aspects, such as gradient preconditioning, workflow, and misfit design. By developing a new preconditioner that approximates the diagonal of the Hessian, we facilitate automatic parameter tuning across different classes, ensuring comparable magnitudes of preconditioned gradients for velocity and Q . Moreover, our investigations confirm the efficacy of the two-stage hierarchical strategy in mitigating velocity-Q Q trade-offs, enabling more accurate Q estimation by first focusing on velocity reconstruction before jointly estimating velocity and Q . The analysis and numerical examples also highlight the importance of broadband data and long-offset acquisition for a reliable Q estimation. In addition, leveraging amplitude information can improve Q estimation to some extent, but careful consideration of frequency band and noise effects is necessary. We explore two misfit functions that capture amplitude variation with frequency in the time-frequency domain, noting their sensitivity to noise. To address this, we develop a differential strategy that can effectively mitigate the effects of low-frequency noise. This comprehensive study on enhancing Q estimation in viscoacoustic FWI offers valuable insights for multiparameter inversion in realistic scenarios.
引用
收藏
页码:R399 / R413
页数:15
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