In this work, we adopt a greedy inversion solver to design a fast version of the double focal transform that we can use to eliminate blending noise in simultaneous source acquisition. The greedy inversion introduces a coherence-oriented mechanism to enhance focusing of significant model space, leading to a sparse model space and fast convergence rate. Synthetics and numerically blended field data examples demonstrate the validity of its application for deblending. We also tested different inversion parameters (percentile value and weights) influencing the choice of the model subspace. The results indicate that by setting the percentile carefully and using weights it is possible to get better deblending results.


Article metrics loading...

Loading full text...

Full text loading...


  1. Berkhout, A. J.
    [2008] Changing the mindset in seismic data acquisition. The Leading Edge, 27(7), 924–938.
    [Google Scholar]
  2. Berkhout, A. J. and Verschuur, D. J.
    [2006] Focal transformation, an imaging concept for signal restoration and noise removal. Geophysics, 71(6), A55–A59.
    [Google Scholar]
  3. [2010] Parameterization of seismic data using gridpoint responses. 80th SEG Annual International Meeting, Expanded Abstracts, 3344–3348.
    [Google Scholar]
  4. Huo, S., Luo, Y. and Kelamis, P. G.
    [2012a] Simultaneous sources separation via multidirectional vector-median filtering. Geophysics, 77(4), V123–V131.
    [Google Scholar]
  5. KontakisA. and Verschuur, D. J.
    [2014] Deblending via sparsity-constrained inversion in the focal domain. 76th EAGE Conference and Exhibition, Expanded Abstracts, Th ELI2 02.
    [Google Scholar]
  6. Mueller, M.B., Halliday, D. F., van Manen, D. J., and Robertsson, J. O. A.
    [2015] The benefit of encoded source sequences for simultaneous source separation. Geophysics, 80(5), V133–V143.
    [Google Scholar]
  7. Soni, A. K. and Verschuur, D. J.
    [2015] Imaging blended vertical seismic profiling data using full-wavefield migration in the common-receiver domain. Geophysics, 80(3), R123–R138.
    [Google Scholar]
  8. van den Berg, E. and Friedlander, M. P.
    [2008] Probing the pareto frontier for basis pursuit solutions. SIAM Journal on Scientific Computing, 31(2), 890–912.
    [Google Scholar]
  9. WangJ., Ng, M. and Perz, M.
    [2010] Seismic data interpolation by greedy local Radon. Geophysics, 75(6), WB225–WB234.
    [Google Scholar]

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