Improvement In The Truncated Gaussian Method: Combining Several Gaussian Functions

It has been established in previous papers, that the Truncated Gaussian Random Method is a very efficient tool for simulating sedimentary images in a fluvio-deltaic environment. Moreover, this method allows the introduction of geological knowledge different from the lithofacies, by means of threshold variations 3D matrix. However, there are still some cases which cannot be easily solved by the current Truncated Gaussian Random Function approach, especially when the whole lithofacies cannot be rigorously ordered. It is thus possible to generalize the use of the Truncated Gaussian Random Function by introducing several Gaussian Functions. This allows lithofacies simulations of reservoirs where several sequences overlap. In this paper, we show how to apply this method using mainly two Gaussian Functions when at least three lithofacies must be simulated. Firstly, the linear model of coregionalisation is used to generate correlated Gaussian Functions and the effect of this correlation is presented. Secondly, we use uncorrelated functions to show the effect of the simulation parameters, especially focusing on the anisotropy effect. Thirdly, we present a more complex type of truncation. In conclusion, we begin a discussion on the choice of the simulation parameters.