Geostatistics Valencia 2016

Volume 19 of the series Quantitative Geology and Geostatistics pp 59-75


Modelling Asymmetrical Facies Successions Using Pluri-Gaussian Simulations

  • Thomas Le BlévecAffiliated withImperial College, Royal School of Mines Email author 
  • , Olivier DubruleAffiliated withImperial College, Royal School of Mines
  • , Cédric M. JohnAffiliated withImperial College, Royal School of Mines
  • , Gary J. HampsonAffiliated withImperial College, Royal School of Mines

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An approach to model spatial asymmetrical relations between indicators is presented in a pluri-Gaussian framework. The underlying gaussian random functions are modelled using the linear model of co-regionalization, and a spatial shift is applied to them. Analytical relationships between the two underlying gaussian variograms and the indicator covariances are developed for a truncation rule with three facies and cut-off at 0. The application of this truncation rule demonstrates that the spatial shift on the underlying gaussian functions produces asymmetries in the modelled 1D facies sequences. For a general truncation rule, the indicator covariances can be computed numerically, and a sensitivity study shows that the spatial shift and the correlation coefficient between the gaussian functions provide flexibility to model the asymmetry between facies. Finally, a case study is presented of a Triassic vertical facies succession in the Latemar carbonate platform (Dolomites, Northern Italy) composed of shallowing-upward cycles. The model is flexible enough to capture the different transition probabilities between the environments of deposition and to generate realistic facies successions.