2018
DOI: 10.1007/s11004-018-9737-y
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Geostatistical Modelling of Cyclic and Rhythmic Facies Architectures

Abstract: A Pluri-Gaussian method is developed for facies variables in three dimensions to model vertical cyclicity related to facies ordering and rhythmicity. Cyclicity is generally characterised by shallowing-upward or deepening-upward sequences and rhythmicity by the repetition of facies at constant intervals along sequences. Both of these aspects are commonly observed in shallow-marine carbonate successions, especially in the vertical direction. A grid-free spectral simulation approach is developed, with a separable… Show more

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Cited by 14 publications
(28 citation statements)
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References 52 publications
(71 reference statements)
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“…This study emphasizes the importance of quantifying lateral persistence in the analysis of sedimentary cycles and provides quantitative data for carbonate depositional models (cf. Burgess, 2016;Burgess & Wright, 2003; Burgess, Wright, & Emery, 2001;Le Blévec, Dubrule, John, & Hampson, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…This study emphasizes the importance of quantifying lateral persistence in the analysis of sedimentary cycles and provides quantitative data for carbonate depositional models (cf. Burgess, 2016;Burgess & Wright, 2003; Burgess, Wright, & Emery, 2001;Le Blévec, Dubrule, John, & Hampson, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…A geostatistical method has been developed recently to model simultaneously facies cyclicity and rhythmicity (Le Blévec et al, 2018), thus improving the realism of facies Earth models. The method is based on Pluri-Gaussian Simulations (Armstrong et al, 2011), constrained by facies transiograms.…”
Section: Modeling Cyclicity and Rhythmicitymentioning
confidence: 99%
“…The method is based on Pluri-Gaussian Simulations (Armstrong et al, 2011), constrained by facies transiograms. The facies asymmetric ordering (or cyclicity) is defined by two Gaussian random functions spatially shifted from each other, and rhythmicity of the facies succession is modeled by defining new hole-effect covariance models (Le Blévec et al, 2018). However, the method has only be tested so far for a model with three facies and it might be more difficult to model cyclicity with more facies, which is investigated here.…”
Section: Modeling Cyclicity and Rhythmicitymentioning
confidence: 99%
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