Integrating discrete fracture models for static and dynamic calibration of fractured reservoirs

Abstract

We integrate discrete fracture network (DFN) with discrete fracture and matrix (DFM) models to increase the efficiency and accuracy of static and dynamic calibration in naturally fractured reservoirs. The DFN method provides a framework for generation and modelling of fractured reservoir models and their conditioning to the observed data. The DFM is more accurate for the dynamic modelling in situations where there is significant flow in the matrix. We discuss a workflow where the two methods are combined jointly in a real fractured reservoir.