An empirical study of large-scale data-driven full waveform inversion

Peng Jin1,2, Yinan Feng3, Shihang Feng3

  • 1Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, USA. pqj5125@psu.edu.

Scientific Reports
|August 28, 2024
PubMed
Summary

Big data significantly enhances deep learning models for seismic full waveform inversion (FWI). Training on large, diverse datasets improves accuracy and generalization, showing that model capacity must scale with data size for optimal results.

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