Adaptive de-blending of dithered simultaneous sources

References

1. Abma, R.L., Manning, T., Tanis, M., Yu, J. and Foster, M.
   [2010]. High quality separation of simultaneous sources by sparse inversion:72nd Annual International Conference and Exhibition, EAGE, Extended Abstracts.
   [Google Scholar]
2. Beasley, C.J.
   [2008]. A new look at marine simultaneous sources.The Leading Edge, 27(7), 914–917.
   [Google Scholar]
3. Berkhout, A.J.
   [2012]. Combining full wavefield migration and full waveform inversion, a glance into the future of seismic imaging:Geophysics, 77, S43–S50.
   [Google Scholar]
4. Berkhout, A.J.
   [2008]. Changing the mindset in seismic data acquisition.The Leading Edge, 27(7), 924–938.
   [Google Scholar]
5. Choi, Y. and Alkhalifah, T.
   [2012]. Application of multi-source waveform inversion to marine streamer data using the global correlation norm.Geophysical Prospecting, 60(4), 748–758.
   [Google Scholar]
6. Grion, S., Light, R. and Denny, S.
   [2018]. June. A seismic apparition experiment on towed streamer seismic data.In 80th EAGE Conference and Exhibition 2018 (1–5).
   [Google Scholar]
7. Hurley, N. and Rickard, S.
   [2009]. Comparing measures of sparsity.IEEE Transactions on Information Theory, 55(10), 4723–4741.
   [Google Scholar]
8. Ibrahim, A. and Sacchi, M.D.
   [2013]. Simultaneous source separation using a robust Radon transform.Geophysics, 79(1), V1–V11.
   [Google Scholar]
9. Ishiyama, T., Ishikawa, S., Ali, M., Nakayama, S. and Blacquiere, G.
   [2018]. June. De-blended-data reconstruction using generalized blending and de-blending models.In 80th EAGE Conference and Exhibition 2018 (Vol. 2018, No. 1, pp. 1–5). European Association of Geoscientists & Engineers.
   [Google Scholar]
10. Kontakis, A. and Verschuur, D.J.
    [2014]. June. De-blending via sparsity-constrained inversion in the focal domain. In 76th EAGE Conference and Exhibition.
    [Google Scholar]
11. Mahdad, A., Doulgeris, P. and Blacquière, G.
    [2012]. Iterative method for the separation of blended seismic data: discussion on the algorithmic aspects.Geophysical Prospecting, 60 (Simultaneous Source Methods for Seismic Data), pp.782–801.
    [Google Scholar]
12. Maraschini, M. and Grion, S.
    [2017]. June. Blended De-Signature: a New Approach to Source Separation. In 79th EAGE Conference and Exhibition 2017 (Vol. 2017, No. 1, pp. 1–5).
    [Google Scholar]
13. Masoomzadeh, H., Baldock, S. and Liu, Z.
    [2018]. De-blending continuous records by sparse inversion of energetic and coherent surfaces. In SEG Technical Program Expanded Abstracts 2018 (pp. 4065–4069).
    [Google Scholar]
14. Robertsson, J.O.A., Amundsen, L. and Sjøen Pedersen, Å.
    [2016]. Wavefield signal apparition part 1 theory.78th EAGE Conference & Exhibition, Extended Abstracts, We LHR2 05.
    [Google Scholar]
15. Sjøen Pedersen, Å., Amundsen, L. and Robertsson, J.O.A.
    [2016]. Wavefield signal apparition, Part II: Application to simultaneous sources and their separation.78th EAGE Conference & Exhibition, Extended Abstracts, We LHR2 06.
    [Google Scholar]
16. Li, C., Mosher, C.C. and Ji, Y.
    [2019]. An amplitude-preserving de-blending approach for simultaneous sources.Geophysics, 84(3), pp. V185–V196.
    [Google Scholar]