CGI’s proprietary 3D inversion codes work backwards from surface geophysical surveys to reconstruct subsurface physical properties like density, conductivity, and magnetism. Our adaptive octree mesh architecture solves this at a scale and accuracy that conventional approaches can't match
Learn More
GiLi (Geophysically-Informed Lithology Interpolation) is a joint inversion solution that fuses sparse drill data, geological and surface mapping with geophysical surveys - extracting subsurface detail that neither dataset could resolve alone. The result is a physically-validated 3D lithology model that gives exploration teams the confidence to drill smarter, reduce risk, and extend cover into areas previously too uncertain to target.
Learn More
We integrate sparse borehole data and multi-scale geospatial datasets into unified predictive models using our proprietary VNet deep learning architecture. Unlike conventional point-wise algorithms, VNet's convolutional neural network captures complex spatial patterns within and across datasets, identifying blind deposits and ranking exploration targets with a precision that legacy prospectivity methods simply cannot achieve.
Learn More