Wedge failures in underground excavations pose significant risks to safety, equipment, and production schedules.

Traditional manual data collection methods are time-consuming, error-prone, and lack statistical depth, requiring engineers to make assumptions during wedge analysis.

This case study leveraged probabilistic digital data and RGB point clouds obtained using the RockMass Eon, incorporating the 3-Dimensional Axis Mapping (3DAM) algorithm and georeferenced LiDAR datasets to create as-built excavation models for structural analysis in Rocscience Unwedge.