Characterization of Subsurface Structure Along the Qinghai-Tibet Engineering Corridor by Generative Adversarial Waveform Inversion

Summary The Qinghai-Tibet Engineering Corridor (QTEC) is an important road. Imaging and monitoring its subsurface structure play important roles in environmental protection and disaster prevention. With the development of geophysical technology, waveform inversion has become an excellent means to obtain high precision velocity structure. Therefore, we propose the Rayleigh-wave waveform inversion framework with physical constraints using generative adversarial network. We apply the framework to the surface waves data acquired from the QTEC. Because only a few factors are considered, we report a preliminary inversion result. In the future, we will consider additional factors to conduct more refined inversions in order to analyze the subsurface structure beneath the acquired area.

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Published
2025-01-01
DOI
https://doi.org/10.3997/2214-4609.202572150
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
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article

Characterization of Subsurface Structure Along the Qinghai-Tibet Engineering Corridor by Generative Adversarial Waveform Inversion

Yiyi Ma
Seismic Imaging and Inversion Techniques
article

Characterization of Subsurface Structure Along the Qinghai-Tibet Engineering Corridor by Generative Adversarial Waveform Inversion

Yiyi Ma
article en

Abstract

Summary The Qinghai-Tibet Engineering Corridor (QTEC) is an important road. Imaging and monitoring its subsurface structure play important roles in environmental protection and disaster prevention. With the development of geophysical technology, waveform inversion has become an excellent means to obtain high precision velocity structure. Therefore, we propose the Rayleigh-wave waveform inversion framework with physical constraints using generative adversarial network. We apply the framework to the surface waves data acquired from the QTEC. Because only a few factors are considered, we report a preliminary inversion result. In the future, we will consider additional factors to conduct more refined inversions in order to analyze the subsurface structure beneath the acquired area.

Zhejiang University (CN)
Climate action
Openalex Percentile: Top 84%
Seismic Imaging and Inversion Techniques
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