Speaker
Description
Accurate representation of 3D fracture networks is fundamental to risk assessment and design optimization in underground engineering, especially for nuclear waste geological disposal projects where positioning of deposition holes in tunnels is a major issue. This work presents a new conditional simulation framework for trace-constrained DFN extrapolation. A systematic classification of fracture-observation object intersection types is proposed, and case-specific conditioning strategies are developed to enhance the adaptability and accuracy of the simulation. To verify the framework, a synthetic reference DFN resembling real repository conditions is considered, and a stepwise conditioning approach that mimics the progressive availability of fracture trace data during actual construction processes is examined. Results demonstrate that the proposed framework not only strictly honors the observed trace data but also maintains the global and local statistical characteristics of fractures. Importantly, the progressive integration of conditioning data significantly reduces the uncertainty in determining spatial distributions of large fractures. This framework offers a practical and efficient tool for DFN extrapolation, supporting subsequent groundwater inflow assessment and deposition-hole siting decisions in the development of deep geological disposal of nuclear waste.