Different realizations of ACNs are used to systematically calculate efficient apertures for fluid transport inside differently sized fractures as well as fracture intersection and entry properties.
Five variables, which are fracture spacing, fracture network size, fracture network conductivity, matrix permeability and reservoir size, were investigated.
Tensile and compression tests at room temperature showed that regardless of grain size, fracture elongation and yield asymmetry were strongly influenced by basal texture orientation.
The results clearly show that FeAl ligaments thicker than about 1 2 μm fracture by cleavage and those smaller in size fracture predominantly in a ductile manner.
Application of the model, the development effect factors of tight oil reservoir are analyzed, which contain development methods (depletion development, water flooding development and CO2 flooding development), reservoir permeability, SRV size, fracture density, fracture conductivity and cluster spacing.
Due to the uncertainties related to the flaw assessment parameters, such as flaw size, fracture toughness, loading spectrum and so on, the probability concept is preferred over deterministic one in flaw assessment.
The matrix block size (fracture spacing) to compute the shape factor is primarily obtained from borehole images.
Characterization of the natural fractures generally includes estimating the dynamic parameters such as fracture permeability, and determining the static parameters such as fracture spacing (matrix block size), fracture aperture and fracture porosity (Racht and Golf 1982).
Among the parameters examined in the sensitivity analysis, it is observed that only fracture aperture, fracture permeability and matrix block size (fracture spacing) have posed significant impact on welltest permeability, and the effect of other parameters such as matrix permeability, compressibility of matrix and fracture, and porosity of matrix and fracture can be disregarded.
