The permeability structure of a fault zone is strongly dependent on the occurrence of meso-scale fracture patterns within the damage zone. Here, structural analyses of Virtual Outcrop Models (VOM) integrated with Discrete Fracture Network (DFN) modelling are used to constrain the relationship between meso-scale fracture patterns and the bulk permeability of a regional-scale fault zone. The Goddo Fault Zone (GFZ, Bømlo – Norway) is a long-lived extensional fault zone cutting across a granodioritic body developed during the long-lasting rifting of the North Sea. Fracture geometrical characteristics and the spatial variation of fracture intensity derived from VOM structural analysis were adopted as input for stochastic DFN models representing selected portions of the GFZ to constrain the variability of the structural permeability tensor K related to the mesoscopic fracture pattern. The intensity of fault-related fracture set(s), and the associated structural permeability computed with DFN models, likely exhibits a decreasing power-law trend within the damage zone with increasing distance from the fault cores. The orientation of the maximum K tensor component is controlled by the intersection direction of the dominant fracture sets. These results highlight the fundamental role of mesoscopic fracture patterns in controlling the bulk petrophysical properties of large fault zones.

断层带的渗透性结构强烈依赖于损伤带内中尺度裂缝模式的出现。在这里，虚拟露头模型 (VOM) 与离散裂缝网络 (DFN) 建模相结合的结构分析用于约束中尺度裂缝模式与区域尺度断层带的整体渗透率之间的关系。Goddo 断层带（GFZ，Bømlo – 挪威）是一个长期存在的伸展断层带，穿过北海长期裂谷形成的花岗闪长岩体。裂缝几何特征和来自 VOM 结构分析的裂缝强度空间变化被用作代表 GFZ 选定部分的随机 DFN 模型的输入，以约束结构渗透率张量的可变性K与细观断裂模式有关。断层相关裂缝集的强度，以及使用 DFN 模型计算的相关结构渗透率，可能随着与断层核心距离的增加，在损坏区域内呈现出降低的幂律趋势。最大K张量分量的方向由主要裂缝组的相交方向控制。这些结果突出了细观裂缝模式在控制大断层带整体岩石物理性质方面的基本作用。