MMIJ 2022,Fukuoka

Presentation information (2022/07/27 Ver.)

General Session

(General session) Mining and underground construction machineries / Rock Engineering / Resource based economy and social system / Mining technologies

Wed. Sep 7, 2022 1:00 PM - 4:20 PM Room-4 (A25)

Chairman: Tei Saburi (National Institute of Advanced Industrial Science and Technology),Akira Sato (Kumamoto University)

3:40 PM - 4:00 PM

[2409-17-08] [Student presentation: Doctoral course]Full-waveform inversion with the accelerated augmented Lagrangian method in the frequency domain

○Jiahang Li1, Hitoshi Mikada1, Junichi Takekawa1, Shibo Xu1 (1. Kyoto University)

Chairman:Akira Sato (Kumamoto University)

Keywords:Misfit function, Accelerated Augmented Lagrangian method, Optimization

Full-waveform inversion (FWI) has attracted attention in the exploration of geophysics society due to its high resolution. However, the accuracy performance of the conventional FWI is sensitive to the initial model configuration. The inversion process converts quickly to a local minimum if the initial model is not accurate enough. To address this drawback, we consider a modified approach: the Lagrangian Augmented Accelerated Method (AALM) algorithm adopting adaptive parameter elements. The numerical example of the Marmousi II model is compared between the conventional FWI and our advanced AALM algorithm. It is noted that saving the merit of Iteratively-refined wavefield reconstruction inversion (IR-WRI), the iteration speed of our AALM is much faster than the conventional counterpart, which increases the computational efficiency significantly.

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