In this paper, a complete workflow to analyse and model natural fractures in hydrocarbon bearing reservoirs is described using fracture description from cores, borehole images and wireline logs. There are indices testifying the impact of fractures on the dynamic performances of a fractured reservoir: the difference between core permeability and well test permeability and/or heterogeneous production and/or difficult history match and/or early water breakthrough. The workflow described here is a four steps process: (1) data analysis that leads to the definition of fracture sets and finding a driver for the fracture density between wells, (2) building of a 3D Discrete Fracture Network model (DFN), (3) dynamic calibration and (4) computation of equivalent fracture permeability, porosity, matrix block sizes and shape factor (upscaling). An iterative process allows updating the fracture model parameters according to the history matching results. The 3D final fracture porosity/permeability model can be used as input for the dynamic reservoir simulation model using single or dual porosity formulation.


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