A smart and accurate representation of geology is a key stage for obtaining, from the modelling process, reliable results on which costly investments can be decided. First of all, the predictive value of the model is strongly dependent on the quality of the general architecture of the model. Stacking pattern analysis on cores and logs wells data help to identify the significant sedimentary surfaces –sequence boundaries, maximum flooding surfaces - that bound the stratigraphic sequences. Sequence stratigraphy controls correlations from well-to-well, but also the stratigraphic architecture and sedimentary cycle development that drive the facies distribution in the reservoir. Obviously, stratigraphic units at reservoir scale give the main features for model layering, together with the identification of flow units, vertical permeability barriers, and well completions.


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