Data Analysis
Breaking down the different data layers that the LIBS scanner provides.
Breaking down the different data layers that the LIBS scanner provides.
GeologicAI’s state-of-the-art LIBS 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.
GeologicAI delivers mineralogical maps, alteration maps, elemental combos, and static heat maps of elemental counts. Images can be imported via our API to image viewing tools such as IMAGO (Seequent).
Format: PNG
In addition to mineral and elemental heat maps, we provide the data in numerical format. Elemental and mineralogical quantifications, along with density estimates over pre-defined intervals. Intervals can be optimized according to your needs. This data can be imported into geological databases and geochemistry software such as ioGAS (Imdex Limited).
Format: columnar (e.g. CSV, Parquet)
Metadata includes information about the parameters used (e.g. scanning mode); information about the hardware and software configuration details (e.g. device number, UI version); information about the customer, site, and core boxes (from-to meters, core loss, etc.).
Format: JSON
LiDAR scanning creates a detailed point cloud of the scanned drill core and its surrounding box.
Format: PCD
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 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.
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.
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.
