Speaker
Description
Numerical subsurface models rely on relevant input data and modelling methods to generate robust representations of fluid flow in fractured rock systems.
In this study, a comprehensive discrete fracture network (DFN) modelling workflow is developed using photogrammetric data acquired from an open-pit mine in a crystalline complex in Germany. Several DFN generation methods (tracemap extrusion, fracture growth, geometric) are applied and compared with the aim of identifying the most suitable approach for representing fracture network topology, which is a key control on fluid flow in crystalline rocks.
The results highlight how alternative modelling approaches influence the resulting network topology and, consequently, the representation of connectivity in three-dimensional space.
This presentation aims to initiate discussion on key challenges in DFN modelling, particularly regarding fracture network topology, the conversion of two-dimensional observations into three-dimensional representations, and the strengths and limitations of available software tools.
Publication: https://www.tandfonline.com/doi/full/10.1080/00295450.2025.2581510#d1e514