Том: 22nd International Conference on Computational Science and Its Applications, ICCSA 2022. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Malaga, Spain, July 4-7, 2022)
Том: 13375 LNCS
, Год издания: 2022
Многотомное издание: 22nd International Conference on Computational Science and Its Applications, ICCSA 2022. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Malaga, Spain, July 4-7, 2022)
Страницы: 143-157
Аннотация
The paper considers the influence of the scattered component of the wavefield on the full waveform inversion results. Utilizing the one step of the quasi-Newton method, we demonstrate that scattered wavefields bring helpful information in the context of the solution of the inverse dynamical problem. Theoretically, usage of the scattered waves should increase the resolution of the method. For different scenarios, the contribution of scattered waves is investigated numerically. We investigate the influence of scattered components only by using singular value decomposition of the linearized inverse problem operator. The numerical experiments are performed for the well-known Marmousi2 model.
