This paper presents a case study of using integrated models in improving upscale accuracy that increases the model speed. This has a great impact on CPU time and therefore the cost of the study. A unique process that integrates data from all possible sources (open hole logs, RFT and production data, seismic and geologic interpretations) was used in a geologic model. This static geologic model was then used to build a DYNAMIC simulation model. We superimposed water encroachment movement over the geologic model that in turn was recycled back in developing the simulation (engineering) model. Up-scaling the resultant model was done using a multi step technique that captured all the varying details of the complex reservoir such as:

a) A tilt in the free water level coupled with the effect of capillary forces on reservoir fluid distribution; b) Reservoir stratification which has the effect of limiting bottom water support and causing the injected water to move rapidly through the high permeability layers; c) While the effects of stratification and faulting are apparent, communication is observed across these features.The study was done on a sector model extracted from the full field geological model as a pilot testing of the method. The same procedure was then applied to the full field model. As a result of using this technique, pressure and water saturation match was obtained and prediction cases were submitted to predict reservoir performance for designing operational and production strategies for the field.

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