ADR 3D study at Brukunga
Integrated use of geological knowledge and the ADR geophysical results to build a 3D model of the sulphide mineralisation.
This report collects all the work completed during project 00231 using the dataset from Brukunga (in 2013 as part of project 00136). This report will have a strong focus on the methodology, capturing the current aspect of the tools, as well as all the developments that have been accomplished for them during the project.
The work was focused on three different tools:
- Sulphide identification using Weights of Evidence: Carried out primarily by Lewis Lawrence after development by Simon Richards. It proved to be a very successful method in identifying the presence of high grade sulphide intervals in Brukunga, as well as in multiple other test locations. It’s highly quantitative and straightforward from the raw data. It has shown excellent repeatability on close-by scans.
- Sulphide identification using Lithmetrics: Carried out primarily by David Limmer. This method applied the combined fundamentals of lithmetrics and Weights of Evidence. Wile showing results that are not as precise as the WofE, this method has proved capable of approximating sulphide depths. The main difference with WofE is that this method firsts crunches the data thought an intense normalisation process. It has shown good repeatability in close-by scans.
- Structural mapping using Energy Mean Transect datasets: Carried out primarily by Octavio Segura Delgado with support from Michael Robinson. This method was first carried out from the Stare Transect, proving that we can produce a very similar output to the one of project 00136. With the stare transect we can find the top of the mineralised sulphide bedding. It was then carried out with the P-Scan Transect, this one was very good at imaging the dips of the units, as well as the major a medium scale faults in the scanned area. These prognosis were done blind, and then validated using the Seismic line. The repeatability between the Stare and P-Scan is high, showing repeating features between both datasets. In conclusion, Adrok has developed a toolset capable of finding Sulphides based on a quantitative method calibrated with training sites from all over the globe, this has been refined and can now be utilised blind as an exploration tool. We have also developed our expertise at imagining the structure of the deposit, and can produce an interpretation of dips and faults from our Profile Scan data.