Geological models using statistical concepts bring a new horizon for reservoir engineering studies. This article discusses some of the questions raised by the introduction of these geological models, and a methodology is proposed to account for the heterogeneities in the reservoir production, based on a specific software. A link between the detailed reservoir images generated by the probabilistic geological models, and the well-known flow simulators is established through the selection of these images, and the averaging of the petrophysical data. The use of stochastic partial derivative equations is investigated as another way of dealing with uncertainty. After a description of the main steps of the integrated software, applications of the methodology to major events of a reservoir development, i.e. appraisal phase, and change of development scheme, are presented. Advantages of the stochastic approach are underlined.


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