In fractured rocks, fluid flows mostly within a complex arrangement of fractures. Both the fracture network structure and its hydraulic properties are determined at first order by the broad range of fracture lengths and densities. To handle the observed wide variety of fracture properties and the lack of direct fracture visualization, we develop a general and efficient stochastic numerical model for discrete fracture networks (DFNs) in a three-dimensional (3D) computational domain. A DFN is a way of representing the rock mass fabric as accurately as possible by stochastically generating fractures in a 3-D volume. This technique accounts for the spatial variability of the different parameters. Orientation, persistence, termination and aperture are each assigned a statistical distribution and a model is chosen for the generation of the fractures in space. Since its conception in the 1970’s and early 1980’s, DFNs have been used in the investigation of slope stability, block caving and underground mining, tunneling, ground water hydrology, and geothermal and petroleum engineering.Discrete Fracture Network (DFN) approach is joints geometric network modeling method to transfer and fluid flow calculation in rock mass.This approach is very appropriate for studying of transfer and fluid flow in fractured area, their modeling is very difficult using continuous models. Many researchers for solving transfer and fluid flow problems in different applied fields utilize DFN method.In modeling always we face some questions that constructed model must solve them. Calibration is required when monitoring devices and consequently others (non-expert people) needs to be confident that model responses to designed questions are close to the real model (or at least are conservative estimation of the real model) behavior. This approach is very appropriate for studying of transfer and fluid flow in fractured area, their modeling is very difficult using continuous models. Many researchers for solving transfer and fluid flow problems in different applied fields utilize DFN method Construction and calibration manner of DFN in Darehzar mineral processing site is starting with superficial surveys form the area and then is followed by constructing a lot of 3-Dimensional fractured network using FracIUT 3D computer code. Calibration stages are including density, orientation and opening of joints. For calibrating and selecting the best fractured network, we need to calibrate fractured networks with hydraulic data of the mentioned area, so with FracIUT 3D codes the permeability around two wells is calculated and finally the best networks that have best calibration in comparison with the permeability of mentioned area are selected and introduced for future modeling.