Project topic: Development of a geoinformation system module based on methods of intelligent anomaly detection for deep field surveys (IRN AP08856012)

Project supervisor: Temirbekov Nurlan Mukhanovich, Dr. Phys.-Math. Sc., Professor, Vice-President of the National Engineering Academy of the Republic of Kazakhstan

Priority direction of science development: Information, telecommunication and space technologies

This project is aimed at creating a software module of a geoinformation system based on methods of intelligent detection of anomalies of hidden deposits for deep predictive and prospecting modeling of deposits. The functioning of the software module is based on the application of the theory of inverse problems of mathematical geophysics using geological data on the earth's surface, geophysical measurements and geochemical analyses as input data. The developed software module is based on a complex predictive-mineragenic model consisting of a geochemical and geophysical part and digital modeling by methods of inverse problems of geochemistry and geophysics, which is aimed at the regional geological study of the subsurface, namely the deep parts of the Earth's crust.

The project is being implemented with the support of grant funding from the Ministry of Education and Science of the Republic of Kazakhstan for 2020-2022, as well as with co-financing from Dake Barlau LLP.