[vc_row][vc_column][vc_video link=”https://youtu.be/zVY8XmZCuYk” el_width=”80″ align=”center”][spacing desktop_height=”30″ mobile_height=”20″ smobile_height=”20″][vc_column_text]In our last blog post, we demonstrated how to upload and manipulate your data in the DRIVER platform.
In this post, we will introduce the overlap analysis tool and show you how to easily interrogate dozens of elements simultaneously.
Mineral deposits often have complex multi-element signatures, and while multi-variate tools like K-Means cluster analysis and principal component analysis are staples of the exploratory data analysis world, these methods are non-spatial by nature, so it can be challenging to view and interact with the results in 3D. DRIVER’s unsupervised machine learning functionality can be used to create 3D anomaly zones for each of the individual elements that are both high in relative concentration and spatially coherent. Following identification of the zones, the ‘Overlap Analysis’ tool can be used to quickly create 3D Boolean intersection queries for any combination of zones desired.
Figure 1: The DRIVER user interface (UI) highlighting the individual zones for As (blue), Au (red) and Cu (yellow)
Multi-attribute overlaps in DRIVER are stored and organized into ‘profiles’, essentially user-created folders that are used to organize the thoughts and hypotheses of the user. To create multi-attribute overlaps, navigate to the ‘Overlaps’ tab and create a new overlap profile. Right-click on the desired profile and select ‘Create overlaps’ (Figure 2).
Figure 2 – Location of the ‘Overlap Analysis’ functionality
Multi-select from the created 3D zone objects, or any external data uploaded to the platform (3D domain volumes, external resource estimations or inverted data from a geophysicist). DRIVER will dynamically calculate every theoretically possible combination of the selected attributes in 3D space, along with their corresponding volume. The ‘minimum overlap volume’ filter may be used to filter the volumes below the selected threshold. Overlap Combinations may be browsed using the drop-down menu, and either saved to the profile or added to the workspace for viewing.
Figure 3 – The ‘Overlap Analysis’ tool and the available options
Figure 4 – A workspace in DRIVER showing the volume for the combined Au + Cu zones
A geologist working on a Porphyry Cu-Au system like Saddle North would naturally be interested in the overlap zones for Cu and Au. However, the functionality offered by DRIVER makes it easy to test how additional elements, such as As, Cd, Hg, and Sb, which could potentially pose problems later in the mining or reclamation phases, are distributed in the deposit. For example, the relationship of As to Cu+Au mineralization, is easily tested using DRIVER. In this case, it is evident that As is not strongly enriched in the main mineralized ore zone.
Figure 5 – A workspace in DRIVER showing the volume for the combined Au+Cu+As zones
This style of analysis is also powerful for identifying and mapping alteration haloes, exploration vectors and lithology/mineral proxies. At Saddle North, the Au+Cu mineralization is closely associated with potassic alteration. This association may be mapped, rapidly, by proxy, as enriched K, Fe, Au, and Cu. DRIVER’s machine-learning-based method makes it easy to rapidly map the 3D distribution of elemental anomalies in the dataset, and the overlap procedure allows for rapid calculation of where the overlaps are coincident (Figure 6).
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