A methodology to evaluate and reduce reservoir uncertainties using multivariate distribution

The methodology was firstly applied to a simple synthetic reservoir simulation model with 20 uncertainty attributes and we drew the following conclusions: (1) R2 sensitivity matrix clearly showed the key physical features of the reservoir model; (2) all reservoir attributes ranges were reduced, providing a set of simulation models with improved history matching. We successfully applied to the UNISIM-I-H reservoir model based on Namorado field, Campos basin, Brazil.