The use of 3-D seismic has become a key tool in hydrocarbon field appraisal and development planning. So far the emphasis has been put essentially on structural analysis. However, in many cases it is possible to get a better insight on some reservoir petrophysical properties such as lithology (rocktypes) and porosity.
That is the case of mixed carbonate/siliciclastic sequences where deposition is strongly influenced both by sea level fluctuations and structural development. Such process results on large vertical and horizontal heterogeneities which have a great influence on the reservoir fluid flow and oil recovery. Consequently a better understanding of the reservoir internal architecture is crucial to get a more efficient reservoir management. In this paper a methodology for integrating seismic with well log and core data in a stochastic modelling of a reservoir is proposed and discussed. The approach is based on a two conditioning steps: in a first step the spatial distribution of rock types is conditioned to 3D seismic data RMS-Response Phase Map; in a final step the simulated maps are conditioned to "hard" well data.
A case study was selected in order to test a new approach towards the refinement of the current geological model.
