Models that predict permeability by considering analogues of fractured media have been used to enhance the understanding of the relative contribution of fracture networks to reservoir quality. The analogue data can overcome scale limitations (sub-seismic to mm) and/or lack of consistency in subsurface datasets (e.g., seismic data, well logs, and cores). This paper presents a numerical tool (TopoScan), designed to process images of fractured systems based on topological methods to determine fracture attributes and automatically make these available for fracture modeling and numerical simulations. We use this program to carry out fracture modeling considering different topological patterns of two-dimensional synthetic fracture networks, with variable patterns of interconnection, aperture, and spatial organization. We used the finite element method for modeling the fracture system, with the incorporation of discontinuities for the representation of fractures in the medium. The models were used for numerical simulations of fluid flow (flow-based upscaling), and the results demonstrated that the influence of fractures interconnection degree (topological patterns) on the equivalent permeability of the fractured medium.

通过考虑裂缝介质的类似物来预测渗透率的模型已用于增强对裂缝网络对储层质量的相对贡献的理解。模拟数据可以克服规模限制（亚地震到毫米）和/或地下数据集（例如，地震数据，测井和岩心）缺乏一致性。本文介绍了一种数值工具（TopoScan），该工具旨在根据拓扑方法处理裂缝系统的图像以确定裂缝属性，并自动将其用于裂缝建模和数值模拟。我们使用该程序来进行裂缝建模，考虑到二维合成裂缝网络的不同拓扑模式，以及互连，孔径和空间组织的可变模式。我们使用有限元方法对裂缝系统进行建模，并结合不连续性来表示介质中的裂缝。该模型用于流体流动的数值模拟（基于流量的放大），结果表明，裂缝的互连程度（拓扑模式）对裂缝介质的等效渗透率有影响。