Fracture model is typically required in developing naturally fractured reservoir. However, due to the limited observations and poor seismic resolution, fracture model typically inherent large uncertainty. Therefore, addressing and quantifying the impacts of various unconstrained parameters in the fracture model is necessary in order to improve its reliability and predictability. In this study we have implemented an effective workflow in fracture modeling to allow iterative and multiple realizations of fracture model in handling various uncertainties. DFN model is conducted at small scale to handle the uncertainties related to fracture geometry and conductivity estimations. The results are then implemented in the full-field implicit fracture model through rock typing. Uncertainty related to overall fracture distribution and connectivity is then quantify and validated through dynamic simulations. Through this approach, performing multiple realizations and iterations of fracture model becomes efficient.


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