1887
PDF

Abstract

Summary

Not Provided

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202376030
2023-11-15
2025-03-21
Loading full text...

Full text loading...

/deliver/fulltext/2214-4609/2023/3rd-eage-workshop-on-fiber-optic-sensing-for-energy-applications/30_-_Li-Xiang.html?itemId=/content/papers/10.3997/2214-4609.202376030&mimeType=html&fmt=ahah

References

  1. Bonomi, E., Brieger, L., Nardone, C., Pieroni, E., Gruber, R. and Rappaz, J. [1998] Phase shift plus interpolation; A scheme for high-performance echo-reconstructive imaging.Computers in physics, 12(2), 126–132.
    [Google Scholar]
  2. Herrmann, F.J. and Li, X. [2012] Efficient least-squares imaging with sparsity promotion and compressive sensing.Geophysical Prospecting, 60(4), 696–712.
    [Google Scholar]
  3. Li, X., Song, Q., Song, J., Tran, A. and Zhou, Z. [2022] Preconditioned Linearized Inversion with the Inverse Scattering Imaging Condition. 2022(1), 1–5.
    [Google Scholar]
  4. Lu, S., Wu, H., Dong, X., Zhong, T., Qiu, L., Li, X., Deng, X. and Gao, R. [2022] Building adjoint operators for least-squares migration using acoustic wave equation.GEOPHYSICS, 2022(ja), 1–64.
    [Google Scholar]
  5. Whitmore, N.D., Valenciano, A.A., Sollner, W. and Lu, S. [2010] Imaging of primaries and multiples using a dual-sensor towed streamer. 3187–3192.
    [Google Scholar]
  6. Witte, P.A., Yang, M. and Herrmann, F.J. [2017] Sparsity-promoting least-squares migration with the linearized inverse scattering imaging condition.EAGE Annual Conference Proceedings. (EAGE, Paris).
    [Google Scholar]
/content/papers/10.3997/2214-4609.202376030
Loading
/content/papers/10.3997/2214-4609.202376030
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