Conditioning to dynamic data: an improved zonation approach

An optimization method for incorporating dynamic data into reservoir modell ing is presented. It integrates a very typical feature of the zonation appr oach that is based upon dividing the reservoir model into subregions. Solvi ng the optimization problem consists of adjusting the subregion pattern so that the reservoir model duplicates the observed dynamic behaviour. Unlike the traditional approach, permeabilities in subregions are not constant, bu t show spatial variations. A variogram model that is the same for all the s ubregions describes this variability. The suggested method allows for optim ization of permeability distributions within the subregions while preservin g the second-order statistics for the whole reservoir model as well as the spatial continuity between subregions. It remains as flexible as the tradit ional zonation approach although it can handle complex structures.