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Mathematical Geology

, Volume 38, Issue 1, pp 51–62 | Cite as

Spectral Simulation and Conditioning to Local Continuity Trends in Geologic Modeling

  • Tingting YaoEmail author
  • Craig Calvert
  • Tom Jones
  • Glen Bishop
  • Yuan Ma
  • Lincoln Foreman
Article

Spectral simulation has gained application in building geologic models due to the advantage of better honoring the spatial continuity of petrophysical properties, such as reservoir porosity and shale volume. Distinct from sequential simulation methods, spectral simulation is a global algorithm in the sense that a global density spectrum is calculated once and the inverse Fourier transform is performed on the Fourier coefficient also only once to generate a simulation realization. The generated realizations honor the spatial continuity structure globally over the whole field instead of only within a search neighborhood, as with sequential simulation algorithms. However, the disadvantage of global spectral simulation is that it traditionally cannot account for the local information such as the local continuity trends, which are often observed in reservoirs and hence are important to be accounted for in geologic models. This disadvantage has limited wider application of spectral simulation in building geologic models. In this paper, we present ways of conditioning geologic models to the relevant local information. To account for the local continuity trends, we first scale different frequency components of the original model with local-amplitude spectrum ratios that are specific to the local trend. The sum of these scaled frequency components renders a new model that displays the desired local continuity trend. The implementation details of this new method are discussed and examples are provided to illustrate the algorithm.

Key Words

spectral simulation fast fourier transform fourier coefficient continuity trend 

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Copyright information

© International Association for Mathematical Geology. 2006

Authors and Affiliations

  • Tingting Yao
    • 1
    Email author
  • Craig Calvert
    • 1
  • Tom Jones
    • 1
  • Glen Bishop
    • 1
  • Yuan Ma
    • 1
  • Lincoln Foreman
    • 1
  1. 1.ExxonMobil Upstream Research CompanyHoustonUSA

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