Markets

Water

Mapping the next generation of water resources

The identification of reliable groundwater aquifers demands more than traditional surface mapping, it requires the ability to see deep into the subsurface with clarity. Our advanced 3D inversion of airborne time-domain electromagnetic (AEM) data is a proven tool for imaging Quaternary channel aquifers and deep saline systems.

By partitioning the inverse problem into multiple meshes and utilizing parallel computing, we can process large AEM datasets to handle many scales of detail. This results in a high-resolution 3D resistivity model that accurately delineates aquifer geometry and productivity potential while minimizing the risk of "dry holes" and optimizing well placement.

‍

AI-driven targetting

Traditional hydrogeological interpretation is often manual, subjective, and difficult to scale across vast regions. Our proprietary VNet deep learning architecture changes this paradigm by automating the discovery of new water resources through data-driven prospectivity mapping. VNet integrates diverse, multi-disciplinary datasets, including gravity, magnetics, topography, geology, and precipitation, to identify the subtle geospatial patterns indicative of productive aquifers.

Whether mapping out large-scale systems across entire territories or maximizing the value of established resources, our AI methodology allows for the rapid ranking of aquifer targets with confidence. The result is a smarter, more cost-effective approach to groundwater exploration.

“Ocean Floor Geophysics partnered with Computational Geosciences for forward modelling and inversion of towed CSEM and a novel AUV-CSEM project. They have excellent capabilities to customize solutions that could handle our unique data sets which ultimately allowed us to provide the right product to our clients”

Matthew Kowalczyk
CEO
‍Ocean Floor Geophysics