1887

Abstract

Summary

The reliable estimation of properties of deep reservoirs from seismic data is a difficult and longstanding problem. With the increasing burial depth of the reservoir, the seismic data acquisition is difficult to obtain data in large incident angle with high S/N ratio, the result of large angle data inversion turns out to be in poor quality. Moreover, with the small angle, the weight of density term is too small to obtain accurate inversion result. Based on Russell approximation and modified Russell approximation, this paper proposes a three-term AVO approximation equation containing the effective pore-fluid bulk modulus as fluid indicators. The corresponding elastic impedance inversion equation and the probabilistic prestack inversion method are also proposed. The fluid factor can be inverted with this direct inversion method. A real data example demonstrates its applicability and practically.

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/content/papers/10.3997/2214-4609.201412609
2015-06-01
2020-08-15
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References

  1. Connolly, P.
    , [1999] Elastic impedance. The Leading Edge, 18, 438–452.
    [Google Scholar]
  2. Russell, B.H., D.Gray, and D.Hampson
    , [2011] Linearized AVO and poroelasticity. Geophysics, 76(3), C19–C29.
    [Google Scholar]
  3. ZouQ, NiuB, SunCn, GuoJ
    , [2011] Estimation of component elastic parameters form saturated limestone samples. Oil Geophysical Prospecting, 46(2), 763–768.
    [Google Scholar]
  4. Whitcombe, D.N.
    , [2002] Elastic impedance normalization: Geophysics, 67, 60–62.
    [Google Scholar]
  5. Yin, X., S.Zhang, F.Zhang, Q.Hao
    , [2010] Utilizing Russell approximation based elastic wave impedance inversion to conduct reservoir description and fluid identification. Oil Geophysical Prospecting, 45, 373–380.
    [Google Scholar]
  6. Du, Q, YanH
    , [2013] PP and PS joint inversion and fluid predication. Journal of Applied Geophysics, 90, 110–118.
    [Google Scholar]
  7. YinX, ZhangS
    , [2014] Bayesian inversion for effective pore-fluid bulk modulus based on fluid-matrix decoupled amplitude variation with offset approximation. Geophysics, 79(5), 221–232.
    [Google Scholar]
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