Greenridge Exploration’s Carpenter Lake Uranium Project is strategically located along the Cable Bay Shear Zone (CBSZ) in the southern margin of the Athabasca Basin. Despite extensive airborne geophysics and geological data (surface mapping, drillhole logs), fully resolving the steep, shear-hosted conductors remained a challenge for traditional inversion methods.

CGI, in collaboration with Convolutions Geoscience Corp., deployed its proprietary GiLi (Geophysics-Informed Lithology Interpolation) platform to bridge the gap between these disparate datasets. By leveraging machine learning to integrate the geological data with the airborne magnetics, GiLi produced a unified 3D voxel model that automatically aligns geological inputs with physical property measurements.

This advanced workflow successfully defined steeply dipping conductive panels and density-low signatures across more than 15 km of the CBSZ corridor. The resulting GiLi model provided Greenridge Exploration with a refined structural framework to further advance their exploration project. This project proves that CGI’s next-generation modelling can extract significant discovery value from existing data without the need for costly new field acquisition.