The discovery and management of water resource presents a global humanitarian challenge, exacerbated by climate change, contamination, and land management. Exploration and management of water sources are essential for agricultural, industrial, energy, and carbon storage applications.
Computational Geosciences is positioned at the forefront of the discovery, appraisal, and monitoring of groundwater aquifers. We utilize the latest subsurface sensing and imaging technologies, and integrate vast amounts of sparse, unstructured geoscience data with our artificial intelligence tools to quantify water resources on local to regional scales.
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“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”
Ocean Floor Geophysics
Groundwater exploration and aquifer delineation requires sophisticated processing of 3D geophysical data. We leverage this in combination with public and private geoscientific datasets using our AI techniques to predict prospective aquifer locations.
As global population continues to grow, and climate change stresses existing demands on groundwater availability for key industries such as agriculture, the world is being forced to reevaluate the assumed abundance of freshwater resources.
Airborne time-domain electromagnetic (AEM) surveys have been shown to be an effective tool for ground water aquifer imaging. The data are difficult to invert in 3D because of the number of sources and the size and scales of the computational domain.
Extractive industries generate produced water which is reinjected into aquifers via disposal wells or stored in tailings dams. For maintaining social licenses to operate, the disposal of produced water must be monitored to ensure there is no contamination with adjacent water systems. Computational Geoscience’s advanced subsurface imaging and artificial intelligence capabilities have been used to improve water management insight.