Forecast of zones with increased uranium mineralization
Heologic offers a complex of ground-based methods aimed at identifying zones with increased uranium mineralization in the selected promising areas.
The complex includes the main methods of helium and radon survey, as well as an additional method of thermometry.
The measurement of helium gas in-situ in near-surface conditions.
Helium is a product of radioactive α-decay of elements of the U-Th series, due to which, in favorable geologic conditions (shallow occurrence of ores, lack of intense hydrogeology over a uranium-bearing object), it can serve as a search criterion for uranium ores, forming near-surface anomalies over “hidden” uranium mineralization.
Radon (Rn) is a radioactive decay product of radium (Ra), which in turn is a decay product of uranium.
Owing to its origin, there are obvious prerequisites for the use of radon imaging (measurement of radon in underground gas) in the search for uranium ores, “hidden” uranium mineralization. In favorable geologic, hydrogeological (low groundwater levels, below uranium mineralization) and climatic conditions (dry climate), radon forms near-surface anomalies in the subsurface gas above the “hidden” uranium mineralization.
Temperature near-surface anomalies can occur over areas with increased U-mineralization due to the release of radiogenic heat and heating of the overlying rocks.
As a result of the work performed, maps of helium anomalies, radon VA and temperature anomalies will be built, centers of significant (in magnitude and area) anomalies will be identified, and anomalies will be ranked.
The processed field data will be correlated and integrated with the available geological and geophysical data over the area.
The final integrated map will recommend priority points for drilling wells in order to search and explore areas with increased uranium mineralization.
They say that the location of uranium deposits can only be surmised, not predicted. Our new developments in He-Technology and the combination with Radon measurements have allowed us to better understand the key aspects of sediment formation, resulting in better prediction models.