Yuri Davydenko was born in 1971 in the city of Irkutsk. In 2000 he graduated from Irkutsk State Technical University and received his Master degree in “Geology and Mineral Exploration”. In 2005, he received a degree in technical sciences, defending a dissertation on the topic: “Development of a hardware-software complex of a differential-normalized method of electrical exploration”.
From 1996 to 2011 he worked at SGNPK and took part in land and sea geophysical expeditions in the Arctic (Red and Barents Seas), Cuba, Kazakhstan, the European part of Russia, the Far East and Siberia.
From 2012 to the present, he has been working as the General Director of Gelios. He also holds positions assistant professor and head of the Geophysics Research Laboratory at the Federal State Budget Education Institution of Higher Education «Irkutsk National Research Technical University».
Scientific interests: development of electromagnetic sounding technologies, three-dimensional modeling and inversion of geophysical data, complex analysis and interpretation. Co-author of 7 international publications.
The results of applying EMZ-VP technology in exploration of blind porphyry copper mineralisation in Mongol-North Square (Northern Kazakhstan)
Geoelectric methods are used to identify sulfidised geological bodies of copper-porphyry mineralisation in Northern Kazakhstan. The combined method of EM and VP was chosen to distinguish between underground anomalies at a depth of 1 km. The full EMZ-VP workflow includes: data collection, quality control and data preprocessing, inversion and preliminary interpretation, calibration based on drilling data, final inversion and interpretation. The inversion algorithm is based on a finite element solution of the Cole-Cole formula. The inversion is performed in three stages: the first stage included 1D modeling, the second - verification of the 1D model and matching the trench with drilling data (historical or new), the third - 3D modeling based on the results of 1D modeling. Traditional parameters are used to visualize and detect near-surface geodata. The 1D inversion approach provides an accurate detailed model for depths of up to 150-200 m and for areas characterized by contrasting Cu-Mo mineralization. In addition to the zones of high polarization and low resistance, which are interpreted as sulfidation zones, in the 1D model, zones of low polarization, which are interpreted as oxidation zones, are distinguished. The three-dimensional model is effective for highlighting large blind polarization anomalies, interpreted as porphyry-type mineralization zones. The EMZ-VP results are used together with geological, geochemical and mineralogical data.