Application of artificial neural networks for reservoir characterization with limited data

The two networks which predicted the flow units and their attributes were utilized to develop the description of the reservoir. Primary and secondary production data were utilized to evaluate the reservoir description. The reservoir description substantially improved the simulation of the secondary recovery performance. The simulation results confirmed the presence of heterogeneities which have had profound impact on the performance of the reservoir. The methodology presented in this paper can serve as a guideline for the characterization of reservoirs with limited data.