Speaker
Description
In this poster, we present FracLab, a robust and powerful 3D discrete fracture network (DFN) generator designed for conditional simulation of fracture networks and numerical simulation of coupled processes. Currently, FracLab has served as the foundational geometric modeling tool for the research team focusing on various coupled processes in 3D fractured rocks.
FracLab incorporates optimized geometry trimming and enhanced rejection criteria to generate high-quality 3D DFNs, enabling robust mesh generation for both fractures and rock matrices; it also regulates minimum element size, reduces mesh element count, and improves mesh quality via full-domain geometry optimization, thereby enabling efficient 3D multiphysics simulations that can capture nonlinear geomechanical deformations, local stress variations, fracture-matrix interactions, and stress-dependent fluid flow and solute transport in densely fractured media.
We are currently developing and refining the conditional simulation module in FracLab, which aims to extrapolate the 3D spatial distribution of fractures based on observed fracture trace data in nuclear waste repositories. Preliminary tests indicate that our conditional simulation framework can accurately reproduce observed traces while simultaneously preserving both global and local fracture statistical properties. Results further demonstrate that the progressive data availability during repository construction contributes to the reduction of uncertainties in fracture spatial prediction.
FracLab facilitates the refined characterization of fracture systems and the understanding of coupled processes in fractured media, showing a broad engineering application value.
| Country | Sweden |
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