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Abstract

Summary

The cause of the low efficiency of geostatistical seismic inversion based on sequential Gaussian simulation (SGS) is explained as follows. In spite of the non-stationary type of initial borehole impedance sections, SGS generates stationary realizations of the same vertical sections. This results in the stationary cubes of predicted impedance values in which all deterministic features are erased. This article proposes using impedance section realizations obtained from a fuzzy model rather than from SGS. The first accurately represent the local statistics of borehole impedance sections, which allows the resulting impedance cubes to clearly show the deterministic features of a geological object. The method is illustrated with an example of the inversion for a real seismic cube.

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/content/papers/10.3997/2214-4609.201902212
2019-09-02
2024-04-20
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References

  1. DubruleO. [2003] Geostatistics for Seismic Data Integration in Earth Models. SEG/EAGE Distinguished instructor short course, 283 p.
    [Google Scholar]
  2. MyasoyedovD.N. [2018] A Technique for Increasing the Efficiency of Seismic Inversion in Laterally Inhomogeneous Media. A thesis for the degree of Candidate of Science in Geology. Gubkin University, Moscow [in Russian].
    [Google Scholar]
  3. KovalevskiyE.V. [2015] Fuzzy geological model: stochastic realizations preserving deterministic features of data. EAGE Conference on Petroleum Geostatistic., Extended Abstracts.
    [Google Scholar]
  4. VolkovaM., PerepechkinM., KovalevskiyE. (2017) A Comparative Analysis of Geostatistical Methods for a Field with a Large Number of Wells. In: Gomez-HernandezJ., Rodrigo-IlarriJ., Rodrigo-ClaveroM., CassiragaE., Vargas-GuzmanJ. (eds) Geostatistics Valencia 2016. Quantitative Geology and Geostatistics, vol. 19, 745–758.
    [Google Scholar]
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