Attenuation Sensitivity Kernel Analysis in Viscoelastic Full-Waveform Inversion Based on the Generalized Standard Linear Solid Rheology

Author:

Song Jianyong,Cao HongORCID,Pan Wenyong,Yang Zhifang,Li Hongbing,Lu Minghui,Hu Xinhai

Abstract

AbstractObtaining accurate subsurface Q (quality factor) models using full-waveform inversion (FWI) methods remains a challenging task. The forward modeling problem of viscoelastic wave propagation can be solved by superimposing N rheological bodies of Maxwell or Zener type with generalized standard linear solid rheology. However, different approaches were proposed to calculate the attenuation sensitivity kernels in viscoelastic FWI. This study reviews and compares previous theories for constructing the viscoelastic sensitivity kernels. Furthermore, we derive the viscoelastic sensitivity kernels directly following the adjoint-state (or Lagrangian multiplier) method. Compared to previous approaches, we reveal that the Q sensitivity kernels can be calculated with adjoint memory strain variables. In the numerical experiments, different methods are used to calculate the viscoelastic sensitivity kernels for comparison. We have found that when simultaneously inverting for velocity and Q models, these methods can provide inversion results of comparable quality. However, in the event of inaccurate velocity structures, the Q sensitivity kernels calculated with memory strain variables can resolve the Q anomalies more clearly, while suffering from fewer parameter trade-offs.

Funder

National Natural Science Foundation of China

Special Funds for the Basic Research and Development Program in the Central Non-profit Research Institutesof China

Science and Technology Fund Projects of PetroChina Company Limited

IGGCAS Research Start-up Funds

Publisher

Springer Science and Business Media LLC

Subject

Geochemistry and Petrology,Geophysics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Anelastic Tomography of the Arabian Plate;Bulletin of the Seismological Society of America;2024-05-03

2. Rayleigh wave attenuation tomography based on ambient noise interferometry: methods and an application to Northeast China;Geophysical Journal International;2024-03-26

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