This document provides a summary of Ilya S. Anisimov's qualifications and experience. He has over 14 years of experience in geological, geochemical, and mineral processing studies, including 5 years leading greenfield and brownfield exploration projects. He holds a Ph.D. in Geosciences and Mineralogy and has expertise in mineralogical characterization, ore deposit modeling, and flow sheet development. His skills include mineral liberation analysis, geochemistry, remote sensing, and managing research groups. He has worked in mining and research roles in Canada, Russia, Peru, Mexico, and has extensive experience studying uranium, gold, silver, and other metal deposits.
Experience in Mineral Exploration and Production development as Geologist, QA/QC & Validation Database, and Ore Quality Assurance over five years. Also develop skills in Geostatistic and Geological Database for Modelling and Resources Estimation.
Managing exploration and drilling activities to ensure quality and effectiveness based on standard procedure and prioritize technical targets and safety system.
More details below. Thank you.
Application of Geophysical and Remote Sensing Techniques to Delineate Laterit...Premier Publishers
Application of geophysical and remote sensing techniques was used to delineate lateritic bauxite zone in Orin Ekiti, Southwestern Nigeria. Three basic methods were employed to qualitatively define and identify plausible areas or zones of bauxite ore deposit within the study area. The remote sensing data utilized for the study were the Landsat (ETM) image and Shuttle Radar Topography Mission (SRTM) data in Digital Elevation Model (DEM) image. From the processed remote sensing data, features like topography, vegetation, settlements, and rocks which are all favourable features for bauxite formation were all observed and delineated. The use of magnetic method through the use of high resolution aeromagnetic data (HRAD) of sheet 224, enables different enhancement magnetic maps to be generated. These maps were used to define boundaries, contacts and edges of different rock types within the study area, and the production of a mineralization potential map for the study area. Three major rock types were identified and mapped, these are magmatite, granite gneiss and charnockite rocks. Charnockite rocks which are considered as parent rock for bauxite have low magnetic susceptibility values; therefore, zones of low magnetic susceptibility are mapped, with values ranged between -92.4 nT to -56.9nT, observed at central part trending in the east to west, and also in the northwestern and southwestern parts of the study area. Five traverses were established for electrical resistivity imaging (ERI). Bauxite being a weathered product of charnockite rock, zones of its existence is expected to have high resistivity values. So, along the five traverses, zones of high resistivity values were mapped as bauxite zones, having value ranged between 600 Ωm to 101404Ωm, and occurred within the depth ranged between 0 (surface) to maximum depth probed (15m). All the techniques adopted in the investigation showed the bauxite deposits within the study area are surficial or near-surface occurrence.
Experience in Mineral Exploration and Production development as Geologist, QA/QC & Validation Database, and Ore Quality Assurance over five years. Also develop skills in Geostatistic and Geological Database for Modelling and Resources Estimation.
Managing exploration and drilling activities to ensure quality and effectiveness based on standard procedure and prioritize technical targets and safety system.
More details below. Thank you.
Application of Geophysical and Remote Sensing Techniques to Delineate Laterit...Premier Publishers
Application of geophysical and remote sensing techniques was used to delineate lateritic bauxite zone in Orin Ekiti, Southwestern Nigeria. Three basic methods were employed to qualitatively define and identify plausible areas or zones of bauxite ore deposit within the study area. The remote sensing data utilized for the study were the Landsat (ETM) image and Shuttle Radar Topography Mission (SRTM) data in Digital Elevation Model (DEM) image. From the processed remote sensing data, features like topography, vegetation, settlements, and rocks which are all favourable features for bauxite formation were all observed and delineated. The use of magnetic method through the use of high resolution aeromagnetic data (HRAD) of sheet 224, enables different enhancement magnetic maps to be generated. These maps were used to define boundaries, contacts and edges of different rock types within the study area, and the production of a mineralization potential map for the study area. Three major rock types were identified and mapped, these are magmatite, granite gneiss and charnockite rocks. Charnockite rocks which are considered as parent rock for bauxite have low magnetic susceptibility values; therefore, zones of low magnetic susceptibility are mapped, with values ranged between -92.4 nT to -56.9nT, observed at central part trending in the east to west, and also in the northwestern and southwestern parts of the study area. Five traverses were established for electrical resistivity imaging (ERI). Bauxite being a weathered product of charnockite rock, zones of its existence is expected to have high resistivity values. So, along the five traverses, zones of high resistivity values were mapped as bauxite zones, having value ranged between 600 Ωm to 101404Ωm, and occurred within the depth ranged between 0 (surface) to maximum depth probed (15m). All the techniques adopted in the investigation showed the bauxite deposits within the study area are surficial or near-surface occurrence.
1. Ilya S. Anisimov 1-(647) 301-8311; anisimov@geologist.com Page 1/2
Ilya S. Anisimov
Cell.: 1 (647)-801-8311, E-mail: anisimov@geologist.com
________________________________________________________________
HIGHLIGHTS OF QUALIFICATIONS
5 years in greenfield, brownfield and detailed exploration projects;
Experience as mine geologist in gold mines;
Project lead for multidisciplinary studies of processing and exploration
issues.
Interpretation and integration of multidisciplinary data: mapping,
geochemistry, geophysics, remote sensing, logging, mineralogical and
metallurgical data to create deposit geological and geometallurgical models for exploration and mining;
Over 14 years experience in geological, geochemical and mineral processing studies focusing on ore
characterisation, combination of geological, mineralogical methods and flow sheet development;
Working knowledge of Spanish, fluent English, native Russian and beginners French.
Submitted application for Professional Geoscientist designation.
EDUCATION & UPGRADING
Ph.D. in Geosciences and Mineralogy
Masters of Science in Geology
B.Sc. in Geology (Geochemistry)
St.-Petersburg State University, Russia
Maximizing the value of geochemical data (Short Course)
ioGlobal, PDAC (Toronto, Ontario)
Hydrothermal Ore Deposits in Sediments (modular course)
University of Ottawa
Advanced Courses in Regional Geological Mapping
VSEGEI, Russia
AREAS OF KNOWLEDGE & SKILLS
Exploration and drilling projects lead, budgeting and scheduling, report writing;
Exploration geochemistry, data analysis, remote sensing;
Characterization of sandstone unconformity uranium ores and barren drill cores from sedimentary basins
of various age: Athabasca (Saskatchewan), Powder River basin (Wyoming) and Crawford basin
(Nebraska);
Mining grade control, sampling, drilling programing, ore delineation, mine surveying, reserve
estimation, creation of geological model of a deposit;
Hands-on with instrumental techniques: optical microscopy, SEM, XRD, mineral liberation analysis
(MLA, Qemscan), SIMS, Raman, FTIR spectroscopy, DCA/TGA;
Proficiency in business and professional software: MS Office, Project, Adobe Photoshop, Clemex, Inca
Minerals, MLA suite, iDiscover, multivariate data analysis (Statistica, ioGas), ArcGIS;
Mineralogical characterization and deportment studies of Au, Cu, Zn, Mo, As, Ag, Hg, Cl, F, Ti, Cr, Fe
and graphite ores and tailings and mineral sands;
Processing/hydrometallurgy techniques: grindability, tumbling, physical separation, diagnostic leach
(cyanidation, acid and carbonate – Au, Ag, Cu, Mo, U), gravity and radiometric separation, evaluation of
bench test and plant process data;
Managing research group, supervision and training in mineralogical, geological and processing sample
preparation and testing, improving sample prep procedures, developing new techniques and equipment
upgrade;
2. Ilya S. Anisimov 1-(647) 301-8311; anisimov@geologist.com Page 2/2
WORK EXPERIENCE
Senior Mineralogist
ALS Metallurgy (Kamloops, British Columbia) 2015-present
Researcher
COREM (Quebec, Quebec) 2013-2014
Scientist III 2010-2013
Cameco Corporation (Port Hope,Ontario)
Process Mineralogist 2007-2010
Advanced Mineral Technology Lab - AMTEL (London,Canada)
Geologist 2006
Robis (Amazonas, Peru)
Head ofMineralogical Laboratory 2001-2007
Polymetal Engineering (St-Petersburg,Russia)
Research Scientist 1999–2001
Mekhanobr Engineering JSC, (St-Petersburg,Russia)
Geologist,mine geologist 1997-1998
Tolteck International, (Chihuahua, Chihuahua, Mexico)
Geologist 1995, 1996-1997
Minera Sonoro/Minera Glamis (Chihuahua, Chihuahua, México)
ACHEVEMENTS;
Identified new sedimentary ore type in uranium unconformity deposit, which would lead to correction in
the roll-front deposit exploration model;
Performed detailed exploration and calculation of reserves showing low potential of desired ore type that
lead to sale of non-profitable asset;
Development of original methods of mineralogical analysis, gold and silver deportment in flotation, CIP,
CIL and heap leach tails from Au, Au-Ag, Au-Cu ores;
Recommended flow sheet modifications improved recovery and reduced operation costs (e.g. introduction
of SAG mill and flash flotation on Dukat Ag plant; modification of carbon traps reduced gold losses at Voro
CIL plant);
Developed novel characterization methods of tank and heap leach Au-Ag ore/tailings reducing expensive
mineralogical procedures by 80%;
• Developed mine waste separation criteria to recover additional U values;
• Indicated greater than $600 M value of extractable by-product in a mineral sand deposit;