Building Complex Seismic Velocity Models for Deep Learning Inversion

Training a deep learning inversion network usually requires hundreds of thousands of complex velocity models, which is labor-intensive and expensive to acquire. In this work, we develop a new framework to automatically generate various velocity models with common geological structures, such as foldi...

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Bibliographic Details
Main Authors: Yuxiao Ren, Lichao Nie, Senlin Yang, Peng Jiang, Yangkang Chen
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9319876/