1887

Abstract

Summary

We present a novel workflow for pre-stack prediction and attenuation of internal multiples, applicable to data acquired with orthogonal survey geometries over geologies with mild structural variations. First, we interpolate the data pre-stack (5D) data to common midpoint (CMP) gathers with regular sampling in offset and azimuth. Such CMP gathers are suitable for noise attenuation as shown in previously published case studies. Next, we predict internal multiples in radial gathers, i.e. common midpoint and common azimuth gathers. We use the leading term of the inverse scattering series to perform the algorithm called inverse-scattering series internal multiple prediction (ISIMP) and obtain a pre-stack model of internal multiples without input of subsurface information. We follow the prediction of internal multiples with multidimensional adaptive subtraction. We apply this workflow to data from the Cooper basin, Australia. Our results demonstrate overall improvements in primary resolution and reveal weak primary events previously obscured by multiples. We note that the transformation to the radial domain has been a key enabler for this workflow.

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/content/papers/10.3997/2214-4609.201412690
2015-06-01
2020-05-28
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References

  1. Bilsby, P., J.Quigley, K.O’Sullivan, W.G.Holmes, and D.Holmes
    [2014] The evolution of onshore seismic acquisition and processing—A case study, PETEX Conference 2014.
    [Google Scholar]
  2. Coates, R.T., and A.B.Weglein
    [1996] Internal multiple attenuation using inverse scattering: Results from prestack 1D and 2D acoustic and elastic synthetics, SEG Expanded Abstracts 1996: pp. 1522–1525.
    [Google Scholar]
  3. El-Emam, A., M.Abdullatif, and H.Al-Qallaf
    [2001] Multiple attenuation techniques, case studies from Kuwait. SEG Technical Program Expanded Abstracts 2001: pp. 1317–1320.
    [Google Scholar]
  4. Fu, Q., Y.Luo, P.G.Kelamis, S.Huo, G.Sindi, S.-Y.Hsu, and A. B.Weglein
    [2010] The inverse scattering series approach towards the elimination of land internal multiples. SEG Technical Program Expanded Abstracts 2010: pp. 3456–3461.
    [Google Scholar]
  5. Gamal EldinW., A.Zarkhidze, B.Hootman, and M.Schonewille
    [2014] 5D Matching Pursuit Fourier Interpolation of Sparse Irregular Land Geometry, 11th Middle East Geosciences Conference and Exhibition, AAPG Search and Discovery Article #90188
    [Google Scholar]
  6. PanP., and K.Innanen
    [2014], Numerical analysis of 1.5D internal multiple prediction. SEG Technical Program Expanded Abstracts 2014: pp. 4135–4139.
    [Google Scholar]
  7. Weglein, A. B., F. A.Gasparotto, P. M.Carvalho, and R. H.Stolt
    [1997] An inverse-scattering series method for attenuating multiples in seismic reflection data: Geophysics, 62, 1975–1989.
    [Google Scholar]
  8. Wu, Z.J., S.Sonika, B.Dragoset
    , [2011] Robust internal multiple prediction, SEG Technical Program Expanded Abstracts 2011: pp. 3541–3545.
    [Google Scholar]
  9. Xavier de Melo, F., M.Idris, Z. J.Wu, and C.Kostov
    [2014] Cascaded internal multiple attenuation with inverse scattering series: Western Canada case study. SEG Technical Program Expanded Abstracts 2014: pp. 4113–4117.
    [Google Scholar]
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