We develop process-driven, conceptual models to identify—and enhance understanding of—your mineral exploration targets. By combining cutting-edge 3D modelling software such as Leapfrog with our extensive knowledge of mineral systems, we develop optimal, cost-effective solutions at all stages of your exploration process.
Because of the growing need for deep targeting, it’s essential to clearly understand the geometry of structures in the third and fourth dimensions. We apply a rigorous, litho-structural process to interpret geophysical and geochemical data sets and define and evaluate potential exploration targets. We also conduct advanced structural interpretations that correlate mineralized systems with structural settings as well as systematic data- and knowledge-driven mineral potential mapping using GIS, GOCAD, and state-of-the-art machine learning workflows.
Our understanding of orebody formation mechanisms and distribution within wide-ranging geological and tectonic settings enhances orebody searches and has benefitted greenfield, brownfield, and resource expansion projects.
Case study: 3D geological mapping
SRK was contracted by the Rwanda Mines, Petroleum and Gas Board (RMB) to carry out exploration and evaluation of seven selected targets across Rwanda for multiple commodities.Learn More
In line with global trends, the Indian iron and steel industry is witnessing a resurgence of modernization, expansion and consolidation.Learn More
Most ore deposits are formed within tectonically active areas, such as ancient basins and orogenic belts.Learn More
Norway’s Bjerkreim-Sokndal layered intrusion is the largest in Europe at 230 km2 and hosts important Ti-P-V deposits. It is covered by Norge Mining PLC’s exploration licences.Learn More
Elkon in South Yakutia, East Russia, is the world’s largest known, undeveloped uranium deposit.Learn More
Integrating A Minerals Systems Approach With Machine Learning: A Case Study Of ‘Modern Minerals Exploration’ In The Mt Woods Inlier – Northern Gawler Craton, South AustraliaLearn More