Parameterization of embedded discrete fracture models (EDFM) for efficient history matching of fractured reservoirs

Embedded Discrete Fracture Model (EDFM) is a promising approach to describe the reservoirs with fractures. Conventional streamline-based inversion method has been limited to the dual-porosity models where the natural fractures are modeled implicitly and flow between matrix blocks is not accounted for. To address this challenge, we propose a novel parameterization and hierarchical multi-scale history matching formulation for EDFM's. We sequentially include basis functions, from large to small scale, to calculate basis coefficient sensitivity combined with streamline-based analytical sensitivity, for updating matrix and fracture properties to match the reservoir dynamic response.