Near-surface velocity estimation using shear-waves and deep-learning with a U-net trained on synthetic data

Near-surface velocity estimation using shear-waves and deep-learning with a U-net trained on synthetic data

Estimation of good velocity models under complex near-surface conditions remains a topic of ongoing research. We propose to predict near-surface velocity profiles from surface-waves transformed to phase velocity-frequency panels in a data-driven manner using deep neural networks. This is a different...

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Bibliographic Details
Main Authors: Taneesh Gupta, Paul Zwartjes, Udbhav Bamba, Koustav Ghosal, Deepak K. Gupta
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2022-12-01
Series:Artificial Intelligence in Geosciences
Subjects:
Near-surface
Dispersion curve
Rayleigh wave
velocity
U-Net
Online Access:http://www.sciencedirect.com/science/article/pii/S2666544123000011

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http://www.sciencedirect.com/science/article/pii/S2666544123000011

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