1887

Abstract

Summary

Cyclicity and rhythmicity are important features of sedimentary architectures. However, most geostatistical facies simulations techniques do not directly quantify or model them. A new approach based on Pluri-Gaussian Simulations, addresses this limitation of standard geostatistical techniques. It allows the modelling of cyclicity thanks to the introduction of a shift between Gaussian functions, and hole-effect variograms in the vertical direction. The results obtained in the three-dimensional simulation of a carbonate platform confirm that cyclicity and rhythmicity are properly modelled and that the method can be generalized to the modelling of both clastic and carbonate facies architectures.

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/content/papers/10.3997/2214-4609.201800789
2018-06-11
2020-07-06
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References

  1. Armstrong, M., Galli, A., Beucher, H., Loc’h, G., Renard, D., Doligez, B., & Geffroy, F.
    [2011] Plurigaussian simulations in geosciences. Springer Science & Business Media.
    [Google Scholar]
  2. Burgess, M.
    [2016] Identifying stratigraphic cycles using a quantitative optimization method. Geology; 44 (6): 443–446. doi: https://doi.org/10.1130/G37827.1
    [Google Scholar]
  3. Carle, S. F., & Fogg, G. E.
    [1996] Transition probability-based indicator geostatistics. Mathematical geology, 28(4), 453–476.
    [Google Scholar]
  4. Goldhammer, R. K., Dunn, P. A., & Hardie, L. A.
    [1990] Depositional cycles, composite sea-level changes, cycle stacking patterns, and the hierarchy of stratigraphic forcing: examples from Alpine Triassic platform carbonates. Geological Society of America Bulletin, 102(5), 535–562.
    [Google Scholar]
  5. Hönig, M. R., & John, C. M.
    [2015] Sedimentological and isotopic heterogeneities within a Jurassic carbonate ramp (UAE) and implications for reservoirs in the Middle East. Marine and Petroleum Geology, 68, 240–257.
    [Google Scholar]
  6. Jones, T. A., & Ma, Y. Z.
    [2001] Teacher’s aide: geologic characteristics of hole-effect variograms calculated from lithology-indicator variables. Mathematical Geology, 33(5), 615–629.
    [Google Scholar]
  7. Le Blévec, T., Dubrule, O., John, C. M., & Hampson, G. J.
    [2017a] Modelling asymmetrical facies successions using pluri-Gaussian simulations. In Geostatistics Valencia 2016 (pp. 59–75). Springer International Publishing.
    [Google Scholar]
  8. [2017b] Geostatistical modelling of cyclic and rhythmic facies architectures. Retrieved from eartharxiv.org/duj42.
    [Google Scholar]
  9. nPeterhäsel, A., & Egenhoff, S. O.
    [2008] Lateral variabilities of cycle stacking patterns in the Latemar, Triassic, Italian Dolomites. SEPM Spec. Publ, 89, 217–229.
    [Google Scholar]
  10. Pyrcz, M. J., & Deutsch, C. V.
    [2014] Geostatistical reservoir modeling. Oxford university press.
    [Google Scholar]
  11. Strasser, A.
    [1988] Shallowing-upward sequences in Purbeckian peritidal carbonates (lowermost Cretaceous, Swiss and French Jura Mountains). Sedimentology, 35(3), 369–383.
    [Google Scholar]
  12. Wackernagel, H.
    [2013] Multivariate geostatistics: an introduction with applications. Springer Science & Business Media.
    [Google Scholar]
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