Modern data science to accelerate discovery
This session explores how advanced analytical techniques, rooted in machine learning, network theory, and stochastic modelling, are transforming mineral exploration across Africa. Showcasing GeoChemNet, a novel approach to visualising geochemical datasets through network analysis, enabling geologists to identify meaningful outliers and patterns that traditional methods often miss. Participants will also examine how stochastic interpolation of flightline data is reducing false positives in geophysical surveys, improving the accuracy of subsurface targeting and saving millions in exploration costs.
Wednesday 11 February 14:50 - 15:50 Technology and Innovation Hub Nubian Pyramids Stage (CTICC2 - Ground Floor - Exhibition Hall)
Disruptive technologies
This session explores how advanced analytical techniques, rooted in machine learning, network theory, and stochastic modelling, are transforming mineral exploration across Africa. Showcasing GeoChemNet, a novel approach to visualising geochemical datasets through network analysis, enabling geologists to identify meaningful outliers and patterns that traditional methods often miss. Participants will also examine how stochastic interpolation of flightline data is reducing false positives in geophysical surveys, improving the accuracy of subsurface targeting and saving millions in exploration costs.
Nubian Pyramids Stage (CTICC2 - Ground Floor - Exhibition Hall) Africa/Johannesburg
Moderator
Professor, Stanford University
Speakers
PhD candidate, Stanford University
PhD student, Stanford University
PhD candidate, Stanford University
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