A three dimensional geological model of a reservoir defines the matrix heterogeneities and the petrophysical properties (porosity, permeabilities, saturations). To construct a model two sources of information are used: a conceptual model and the available measured data (subsurface and outcrop) interpolating techniques are needed. To integrate these two perspectives. In this paper two stochastic techniques are compared: the Gaussian model and the Boolean model. The integration of different types of knowledge is a crucial and innovative domain in 3D stochastic modelling and requires contact between petroleum geoscientists and engineers involved in reservoir management.

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