Technical session 6 – Implementation of advanced technologies for escalating resource base development in Kazakhstan
Format: Presentations and panel discussion
Context: Kazakhstan is at a geological turning point where its vast Soviet-era exploration archives meet modern algorithmic discovery. With over 90% of historical records digitised, the focus is shifting from preservation to AI-driven analysis of geological “Big Data.” This session examines how machine learning is reprocessing legacy seismic, magnetic, and geochemical data to predict deep ore bodies beyond traditional reach. By replacing static paper maps with dynamic 3D digital models, Kazakhstan aims to revitalise its mineral base, while testing how digital insights translate into real-world discovery and economic value.
Moderator
Chris Bray
Principal Consultant (Mining Engineering)
SRK Consulting (UK)
Presentations:
Can technology make mining business better?
Alexey Tsoy
Group Head of Studies
MSA Group
Implementing best practise for underground mining
Chris Bray
Principal Consultant (Mining Engineering)
SRK Consulting (UK)
Turning Data into Discovery: A platform to support mineral exploration in Kazakhstan & beyond
Olivia Rhind
Senior Geologist – Business Development
ALS
Construction of a detailed 3D model of tectonic faults based on 3D seismic exploration data
Alexander Oshkin
CTO
Sonica
Integrated Testing, Analysis, and Mineralogy from Exploration to Rehabilitation
Alesya Tüzün
Regional Director
Argetest
Scaling Geometallurgical Insight using Assays and Photos:Machine Learning Applications on Copper Deposits
Well-Shen Lee
Senior Project Geologist
ALS Geoanalytics
Experience of applying the Transient Electromagnetic Method (TEM) in underground boreholes
Marat Shayakhmet
Head of Electrical Survey Department
GEOKEN Scientific Production Center
