The CoreSmart 2 Predictor – the unmissable tool to speed-up exploration and save on costs at the same time
// EXPERIENCE. EXECUTION. EXCELLENCE.
The CoreSmart 2 Predictor
We feed mass data to Artificial Intelligence.
Developed on large amounts of drill core data combined with geochemical labels from a wide range of locations and geological domains.
Permanently improved based on that data in the CoreSmart 2 AI Predictor, which allows the prediction of metal contents based on hyperspectral scanning.
Applications of CoreSmart 2 Predictor to exist and new drill core campaigns, ground and airborne mineral exploration programs and mining processes like on the fly ore sorting.
FEATURES
Advantages through CoreSmart 2
- Cost reduction and speed-up of the process
- Identification of hidden resources
- Reducing subjectivity in interpretation
Artificial Intelligence already learned about existing chemical analyses. This means sample intervals may be optimized which reduces costs significantly.
Information from older drill core scans was often only used to a limited extent. However, they contain valuable information on a wide range of valuable metals.
The neural network has been trained on more than hundreds of thousands of samples which is much more than even an experienced geologist has ever seen.
FACTS
We at CoreSmart 2 have brought together our knowledge, our years of experience and our expertise in the fields of Geoscience and Artificial Intelligence to surpass our client’s expectations.
// UNLOCKING HIDDEN INFORMATION
Big Data is waiting to be used
to the full potential
While the system can be used for drill core analysis, airborne data and also in operational mining – the database behind the learning system is itself a vast pool of under-utilized data for strategic green field exploration. Metal grades of a wide variety of metals for thousands of drill holes are fully available based on the predictor in addition to assayed segments of the core. The use of this data and our expertise in complex data analysis and modeling opens up new approaches for identifying potential industrial and rare metal targets. As the data pool is increasing and new metals are integrated into the CoreSmart 2 predictor, the usage of proxies for REE and Lithium detection improves.
