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PluriGaussian Simulations with the Stochastic Partial Differential Equation (SPDE) ApproachNormal access

Authors: N. Desassis, D. Renard, M. Pereira and X. Freulon
Event name: Petroleum Geostatistics 2019
Session: Geostatistical Models II
Publication date: 02 September 2019
DOI: 10.3997/2214-4609.201902174
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 357.37Kb )
Price: € 20

In this work, the Stochastic Partial Differential Equation approach is used to model the underlying Gaussian random fields in the PluriGaussian models. This approach allows to perform conditional simulations with computational complexity nearly independent of the size of the data sets. Furthermore, by using non-homogeneous operators, this framework allows to handle varying anisotropies and model complex geological structures. The model is presented and the proposed simulation algorithm is described. The methodology is illustrated through two synthetic data sets.

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