The energy transition for power generation, transportation and storage requires a global supply chain of critical minerals that surpasses current reserves and production forecasts. The industry faces an urgency to meet demand with a social license to operate a sustainable lifecycle of discovery, development, production, and closure of critical mineral resources.
The critical minerals industry is focused on discovering future resources and maximizing production from existing assets. Computational Geosciences is at the forefront of delivering quantitative solutions which address critical minerals challenges—spanning discovery, appraisal, development, operations and closure phases.
For more information and detailed case studies please click on the links below.
"At the Frotet project in Quebec, CGI's 3D inversion models were integral in imaging gold-bearing structures within sulphidized intrusive rocks that are completely concealed by glacial deposits and lakes. From their models, we were able to target small chargeable zones which ultimately led to the Regnault discovery in March, 2020."
Executive Vice President of Exploration
“Computational Geosciences has been an excellent group to work with for geophysical data 3D inversions. We have relied on them for imaging targets under cover for many years and they have been a key part of our exploration workflow”
Furry Gold Mines
The 3D earth model of your mineral resource is a living asset that has value at all stages of your business lifecycle, from exploration to closure. We apply our in-house 3D inversion software to geophysics data to image small and large scale underground natural resources with high precision. These models form a key component for how exploration teams will target, drill, and plan future work.
We combine 3D geologic modelling, petrophysical property analysis, and geophysical modelling to design geophysical survey configurations to optimally target critical mineral resources while keeping acquisition costs low.
We apply deep learning artificial intelligence to target and rank critical mineral resources from huge volumes of sparse, unstructured regional geoscientific data available from public and private data libraries, augmented by our 3D giga-cell inversions of available geophysical data libraries. These solutions build upon the industry’s most advance 3D inversions of airborne induced polarization, electromagnetic, magnetic, and gravity data.
We quantify critical mineral resource and grade estimates by geostatistically propagating sample assays to 3D earth models with rock property and grade relationships. This enables initial resource estimates, which can be rapidly refined and continuously re-risked with incremental data.
The first technical and legislative steps are being taken towards the commercial development of high-grade deep sea mineral resources in large areas of polymetallic nodules and extinct hydrothermal vents. Computational Geoscience has been at the forecront of this market creation by leveraging its critical minerals discovery and appraisal capabilities to the quantitative interpretation of deep sea mineral resources.