Lumo Analytics’ state-of-the-art drill core scanner leverages advanced LIBS technology to provide high-precision elemental and mineralogical analyses of drill cores, unconsolidated materials, and hand samples. The resulting data is seamlessly delivered to your preferred platform — whether through secure cloud integration or alternative data-sharing solutions — ensuring efficient access and collaboration.
Data analysis
Breaking down the different data layers that Lumo Analytics provides.
What kind of data will you receive from Lumo Analytics
Mineral composition and quantification – mineralogical breakdown linked to chemistry
Mineral maps provide a powerful visual tool for identifying alteration zones and associated mineral assemblages, offering valuable insights into exploration potential. They enable precise differentiation between visually similar minerals, improving accuracy in geological interpretation and resource targeting. Moreover, by highlighting pathfinder minerals and presenting mineralogical data in an intuitive and visual format the mineral maps enhance decision-making in different stages of exploration and mining.
Elemental composition and quantification – comprehensive geochemical profile
Elemental heat maps transform raw spectral data into clear visual representations, making complex geochemical information easier to interpret. They reveal spatial variations in elemental counts, allowing geologists to identify subtle geochemical patterns across core sections. By highlighting count differences of specific elements in different core zones, these maps support more accurate mineralization analysis and exploration targeting.
3D point clouds – structural and volumetric representation
Using LiDAR scanning, we capture a detailed point cloud of the drill core within its core box, accurately recording its profile and surface topography. This high-resolution data is delivered for your interpretation and integration into geological analysis.
Density mapping – essential for resource modeling and processing
We provide density estimations per interval and produce density maps to yield a detailed understanding of rock variability across the deposit. Understanding density variations within the ore body supports better mine planning, processing efficiency, and overall resource evaluation.