Forecasting roll-front uranium provinces based on integrated geological and satellite remote sensing data
Year: 2025
Type: article
Abstract: An innovative approach has been developed to predict prospective areas for the exploration of rollfront uranium deposits. This method is based on the infiltration model of ore formation and incorporates the advanced exploration practices of roll-front uranium deposits in Kazakhstan, compared with global experience. The approach employs publicly available satellite Earth observation data alongside global geological datasets. Applying this methodology has allowed the identification of prospective areas for roll-front uranium ore exploration and provided a brief characterization of the most significant ones. Special attention is given to large depressions conducive to infiltration conditions, ranging from regions of atmospheric water recharge in arid and semi-arid climates to sedimentary areas under reverse climatic conditions with favorable environments for the formation of reductive geochemical zones. These zones are characterized by active sulfatereduction processes mediated by microorganisms and the generation of hydrogen sulfide fluids.
Source: Eurasian Mining
Authors: А. A. Mendygaliyev, Ya. K. Arshamov, К. B. Rysbekov, G. M. Meirambek
Institution: Satbayev University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4413272118