An element model of the Raude member of the Statfjord formation in a North Sea field has been used for development of a long term drainage strategy. The heterogeneities of this fluvial reservou call for the use of stochastic techniques when modelling IOR processes. This approach makes it possible to create more realistic heterogeneity patterns than conventional interpolation techniques, and to produce several possible distributions of facies and petrophysical variables in a simple manner. Facies distribution has been modelled by a technique combining marked point processes and Gaussian random fields. It produces channel belts in 3D with their specific characteristics such as sinuosity. The petrophysical variables are simulated subsequently on a fine grid, taking into account the facies distribution. Upscaling is performed to provide input to the flow simulator. Water, gas and water alternating gas injection schemes are the investigated flooding strategies. Sensitivity tests are performed on different stochastic images and selected parameters such as WAG period, residual oil saturation after water-flooding, well location and petrophysical parameters. In this reservoir WAG injection improves the recovery from the element compared to water or gas injection. The average permeability appears to be as important as different spatial facies distributions. The residual oil saturation has significantly more influence on the recovery than considering spatial distributions of facies and permeability.
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