Critical
Minerals

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.