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Elastic Full Waveform Inversion With Angle Decomposition and Wavefield Decoupling
IEEE Transactions on Geoscience and Remote Sensing ( IF 7.5 ) Pub Date : 2020-06-01 , DOI: 10.1109/tgrs.2020.2994959
Jingrui Luo , Benfeng Wang , Ru-Shan Wu , Jinghuai Gao

Full waveform inversion (FWI) is a powerful tool to understand the real complicated earth model. As FWI is a highly nonlinear problem and depends strongly on the initial model, how to effectively retrieve the large-scale background model is critical for the success of FWI. For elastic FWI (EFWI), the inversion challenge increases because the P-wave and S-wave are coupled together if no mode separation technologies are applied. In this article, we develop a new EFWI strategy, where we simultaneously implement the angle decomposition and mode separation for the wavefield. Based on the analysis of radiation patterns of different parameters and the fact that small scattering angles correspond to large-scale model perturbations, we can retrieve the large-scale background model of the P-wave velocity with pure small scattering angle P-P mode wavefield. On the other hand, the pure small scattering angle S-S, S-P, and P-S mode wavefields are used to estimate the large-scale background model of the S-wave velocity. The correctly retrieved large-scale background models further guarantee the success of subsequent fine structure retrieving for the P- and S-wave velocity models by using different wave modes. The proposed method is able to reduce the cycle-skipping problem and the multiparameter crosstalk problem simultaneously. Numerical examples show that the proposed method provides much improved inversion results than the conventional EFWI, which demonstrates the validity of the proposed method.

中文翻译:

角度分解与波场解耦的弹性全波形反演

全波形反演(FWI)是了解真实复杂地球模型的强大工具。由于FWI是一个高度非线性的问题,并且强烈依赖于初始模型,因此如何有效地检索大规模背景模型对于FWI的成功至关重要。对于弹性FWI(EFWI),如果不应用模式分离技术,则由于P波和S波耦合在一起,反演挑战会增加。在本文中,我们开发了一种新的EFWI策略,其中我们同时对波场实现角度分解和模式分离。通过分析不同参数的辐射方向图以及小散射角对应于大型模型扰动的事实,我们可以得到纯小散射角PP模式波场的P波速度的大背景模型。另一方面,纯小的散射角SS,SP和PS模式波场用于估计S波速度的大规模背景模型。正确检索的大型背景模型进一步确保了通过使用不同的波模式对P波和S波速度模型进行后续精细结构检索的成功。所提出的方法能够同时减少周期跳跃问题和多参数串扰问题。数值算例表明,与常规的EFWI方法相比,该方法具有更好的反演效果,证明了该方法的有效性。正确检索的大型背景模型进一步确保了通过使用不同的波模式对P波和S波速度模型进行后续精细结构检索的成功。所提出的方法能够同时减少周期跳跃问题和多参数串扰问题。数值算例表明,与常规的EFWI方法相比,该方法具有更好的反演效果,证明了该方法的有效性。正确检索的大型背景模型进一步确保了通过使用不同的波模式对P波和S波速度模型进行后续精细结构检索的成功。所提出的方法能够同时减少周期跳跃问题和多参数串扰问题。数值算例表明,与常规的EFWI方法相比,该方法具有更好的反演效果,证明了该方法的有效性。
更新日期:2020-06-01
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