Abstract

This article describes a statistical methodology to estimate dominant fracture orientation and dispersion from seismically calculated 3D structural attributes. The orientation-dispersion parameter is a modified version of the circular variance that is independent of direction and can be used to compute the Fisher coefficient, a key parameter in the probability density function used in discrete-fracture-network (DFN) modeling to stochastically generate fracture orientations. We show examples of applications to seismic-constrained DFN modeling and perform flow simulations on fractured models built using different dispersion-parameter models to discuss possible implications for drainage of naturally fractured unconventional reservoirs.

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