Developing a new algorithm for numerical modeling of discrete fracture network (DFN) for anisotropic rock and percolation properties

Abstract The role of natural fractures in future reservoir performance is prominent. fractured porous media composed an interconnected network and blocks the medium where occur various scales have a strong influence either when most flow concentrated them or they act as barriers. A general numerical model for discrete fracture networks (DFN) usually employed to handle observed wide variety properties lack direct visualization. These models generally use properties’ stochastic distribution based on sparse seismic data without any physical constraint. Alternatively, DFN includes usual geomechanical approaches like boundary element finite element. But here, geostatistical methodology has been used generate model. In this paper, alternative modeling technique create realization anisotropic rock using simulated annealing (SA) optimization algorithm. There notable positive correlation between length position. are three principal subjects study rocks. Firstly, network’s connectivity, secondly, fluid flows through system, thirdly, dispersion. Here, connectivity generated considered. Continuum percolation mathematical geometry connected components random subset space. Different realizations from S.A. algorithm four different sizes L = 100, 150, 200, 250 at post-threshold condition disordered theory compute Monte Carlo simulation. threshold (critical density) two crucial scaling exponents ( β υ ) that dictate model’s behavior estimated over 200 realizations.