1887

Abstract

Summary

Summary not available

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202084006
2020-09-22
2024-03-29
Loading full text...

Full text loading...

References

  1. Hu, W.
    [2014]. FWI without low frequency data-beat tone inversion. SEG Technical Program Expanded Abstracts 2014, Society of Exploration Geophysicists, pp. 1116–1120.
    [Google Scholar]
  2. Hu, W., Jin, Y., Wu, X. and Chen, J.
    [2019a]. A progressive deep transfer learning approach to cycle-skipping mitigation in FWI. SEG Technical Program Expanded Abstracts 2019, Society of Exploration Geophysicists, pp. 2348–2352.
    [Google Scholar]
  3. [2019b]. Progressive transfer learning for low frequency data prediction in full waveform inversion. arXiv preprint arXiv:1912.09944.
    [Google Scholar]
  4. Jin, Y., Hu, W., Wu, X. and Chen, J.
    [2018]. Learn low wavenumber information in FWI via deep inception based convolutional networks. SEG Technical Program Expanded Abstracts 2018, Society of Exploration Geophysicists, pp. 2091–2095.
    [Google Scholar]
  5. Ovcharenko, O., Kazei, V., Kalita, M., Peter, D. and Alkhalifah, T.
    [2019]. Deep learning for low-frequency extrapolation from multioffset seismic data. Geophysics, 84(6), pp.R989–R1001.
    [Google Scholar]
  6. Sun, H. and Demanet, L.
    [2020]. Extrapolated full waveform inversion with deep learning. Geophysics, 85(3), pp.1–71.
    [Google Scholar]
  7. Szegedy, C., Ioffe, S., Vanhoucke, V. and Alemi, A.A.
    [2017]. Inception-v4, inception-resnet and the impact of residual connections on learning. Thirty-first AAAI conference on artificial intelligence.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.202084006
Loading
/content/papers/10.3997/2214-4609.202084006
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error