The main purpose of this research is to establish a workflow to quantify subsurface uncertainty of hydro-mechanical properties in a realistic 3D structural environment in enhanced granitic reservoirs by integrating data from different sources. Uncertainty parameters in question include fault and fracture densities and their geometrical attributes, permeability, porosity, rock deformation properties and resulting pressure distributions. For this purpose, I have applied fracture analysis to constrain the geometrical attributes of the fracture network at the ISC site (Grimsel lab) which will result in a range of probable discrete fracture network (DFN) simulations with FracMan software. To conclude, preliminary fracture network analysis allows us to build realistic 3D DFN models by constraining the thickness of damage zones and using orientation and frequency data as input.