Neural network analysis of multi-element geochemistry

Multi-element soil geochemical data was analysed using neural network software for a client undertaking exploration for precious metals. Significant elemental associations known to typify certain mineralisation styles were identified and areas of relative prospectivity were delineated. The resulting data were post-processed using industry standard GIS software and imagery suitable for both internal and external stakeholder interest was generated.