This project aims to quantify natural gamma radiation in gold tailings disposal facilities (TDFs)
relative to uranium concentration data in order to use natural gamma detection methods as
alternative methods for uranium resource estimation modelling in gold tailings. Uranium
migration within the New Machavie TDF was also investigated as migration affects both the
grade of the TDF as a uranium resource and poses a threat to the environment. In order to
determine the most appropriate radiometric testing procedure, various methods were employed
for natural gamma detection, including surface natural gamma spectrometry, borehole natural
gamma spectrometry and scintillometry, as well as incremental sampling. These measurements
were then statistically compared to ICP-MS analyses to find the best method, and then
modelled to apply volumetric resource estimation procedures. The oxidation reduction potential
was also tested as uranium geochemistry is dependent on oxidation for mobilisation.
Furthermore, leaching tests were employed to relate specific anions as a mode of transportation
in solution. Results indicated that down-hole natural gamma spectrometry performed the best
and that 2376.87 kg of uranium is present in the TDF. Migration modelling indicated that
uranium is mobilised away from the oxidized top area of the TDF and that accumulation occurs
in the saturated zone of the TDF under a reducing environment. Sulphate anions as the result of
pyrite oxidation are primarily responsible for the mobilisation as radionuclides in New Machavie.
The results of this project can be applied to the resource estimation of all uranium bearing
tailings facilities prior to re-mining as a means to decrease exploration costs and to accurately
model the distribution of uranium. / MSc (Environmental Sciences), North-West University, Potchefstroom Campus, 2014
| Identifer | oai:union.ndltd.org:NWUBOLOKA1/oai:dspace.nwu.ac.za:10394/10858 |
| Date | January 2014 |
| Creators | Koch, Jaco |
| Source Sets | North-West University |
| Language | English |
| Detected Language | English |
| Type | Thesis |
Page generated in 0.0017 seconds