1887

Abstract

Summary

Marchenko Imaging is a new technology in geophysics, which enables us to retrieve Green’s functions at any point in the subsurface having only reflection data. One of the assumptions of the Marchenko method is that the medium is lossless. One way to circumvent this assumption is to find a compensation parameter for the lossy reflection series so that the lossless Marchenko scheme can be applied. The main goals of this work are to: [1] use the Marchenko equation to estimate the attenuation in the subsurface, [2] find a compensation parameter for the lossy reflection series so that the lossless Marchenko scheme can be applied. We propose a novel approach which makes it possible to calculate an effective temporal Q-factor of the medium between a virtual source in the subsurface and receivers at the surface. This method is based on the minimization of the artefacts produced by the lossless Marchenko scheme. Artefacts have a very specific behavior: if the input data to the Marchenko equation are over- or under- compensated, the resulting artefacts will have an opposite polarity. Thus, they can be recognized. This approach is supported by a synthetic example for a 1D acoustic medium without a free surface.

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/content/papers/10.3997/2214-4609.201801662
2018-06-11
2019-12-16
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References

  1. Alkhimenkov, Y.
    [2017] Redatuming and Quantifying Attenuation from Reflection Data Using the Marchenko Equation: A Novel Approach to Quantify Q-factor and Seismic Upscaling.
    [Google Scholar]
  2. Brackenhoff, J.
    [2016] Rescaling of incorrect source strength using Marchenko redatuming.
    [Google Scholar]
  3. Draganov, D., Ghose, R., Ruigrok, E., Thorbecke, J. and Wapenaar, K.
    [2010] Seismic interferometry, intrinsic losses and Q-estimation. Geophysical Prospecting, 58(3), 361–373.
    [Google Scholar]
  4. Fokkema, J.T. and Ziolkowski, A.
    [1987] The critical reflection theorem. Geophysics, 52(7), 965–972.
    [Google Scholar]
  5. Mildner, C., Broggini, F., de Vos, K. and Robertsson, J.
    [2017] Source Wavelet Amplitude Spectrum Estimation Using Marchenko Focusing Functions. In: 79th EAGE Conference and Exhibition 2017.
    [Google Scholar]
  6. van der Neut, J., Vasconcelos, I. and Wapenaar, K.
    [2015] On Green’s function retrieval by iterative substitution of the coupled Marchenko equations. Geophysical Journal International, 203(2), 792–813.
    [Google Scholar]
  7. Slob, E.
    [2016] Green’s function retrieval and Marchenko imaging in a dissipative acoustic medium. Physical review letters, 116(16), 164301.
    [Google Scholar]
  8. Wapenaar, K., Thorbecke, J., Van Der Neut, J., Broggini, F., Slob, E. and Snieder, R.
    [2014] Marchenko imaging. Geophysics, 79(3), WA39–WA57.
    [Google Scholar]
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