Quantifying the influence of fracture parameters on flow behavior and pressure propagation in complex networks of discrete fractures within low-permeability reservoirs

Fractures in low and ultra-low permeability reservoirs create a complex network, affecting fluid flow patterns pressure propagation. However, limited research exists on the impact of fracture properties within these networks. To address this, we introduce shadow area penetration ratio concepts derived from studying single reservoirs. Using sophisticated model analyze how various influence reservoir pressure. are classified into five categories based development level. Through orthogonal experiments multiple regression methods, derive formula that quantifies influence. We find longer denser cracks enhance exchange propagation capacity. Moreover, increasing crack opening expands drop. Notably, fractures aligned with significantly decrease The hierarchical sequence traits greatest is identified as length, opening, density, angle. Our findings shed light intricate relationship between dynamics.