Applied Mining Geology

Dr Abzalov is a geologist with 35 years of experience. He has obtained his PhD in Geology studying nickel sulphide deposits in Russia and Fennoscandia and then undertaken additional post-graduate studies of Applied Mathematics at Murdoch University, Australia and Geostatistics in Fontainebleau, France. He has worked in different roles in research, exploration and mining geology, including the positions of Geology Manager – Project for WMC Resources and Exploration Manager – New Opportunities (Eurasia) and Group Geostatistical Consultant for Rio Tinto. With diverse commodity and geographical experience, encompassing five continents, Dr. Abzalov has demonstrated skills in greenfields, brownfields and resource modelling. With an innovative approach of geostatistically assisted 3D structural modelling, he has lead WMC Resources to the successful resource growth at Olympic Dam and Cliffs deposits. He was also instrumental in the discovery of the uranium resources in Jordan.

"The publication is organised in seven parts, covering various aspects of mining geology and its application to enable decision-making on mines. ... it does provide geologists with a good understanding to analyse the impact of decisions in drill spacing, mining unit size, uncertainty in geology and sampling, and many other variables, and to demonstrate this to the broader mining disciplines. I would recommend it as a handbook to aspiring and current mining geology professionals." (Pamela Naidoo-Ameglio, The AusIMM Bulletin, ausimmbulletin.com, December, 2016)

• 1. Introduction.- PART I. MINE MAPPING AND SAMPLING.- 2. Mining Methods.- 3. Mine Mapping.- 4. Drilling Techniques and Drill Holes Logging.- 5. Sampling of the Mine Workings.- 6. Geotechnical Study.- 7. Dry Bulk Density (DBD) of Rocks.- 8. Data Points Location (surveying).- PART II. SAMPLING ERRORS.- 9. Introduction to the Theory of Sampling.- 10. Quality Control and Assurance (QAQC).- 11. Twin Holes.- 12. Database.- PART III. MINERAL RESOURCES.- 13. Data Preparation.- 14. Geological Constrains of Mineralisation.- 15. Exploratory Data Analysis.- 16. Resource Estimation Methods.- PART IV. APPLIED MINING GEOSTATISTICS.- 17. Introduction to Geostatistics.- 18. Variography.- 19. Methods of the Linear Geostatistics (Kriging).- 20. Multivariate Geostatistics.- 21. Multiple Indicator Kriging.- 22. Estimation of the Recoverable Resources.- 23. Model Review and Validation.- 24. Reconciliation with New Data.- PART V. ESTIMATING UNCERTAINTY.- 25. Grade Uncertainty.- 26. Quantitative Geological Models.- PART VI. CLASSIFICATION.- 27. Principles of Classification.- 28. Methodology of the Mineral Resource Classification.- 29. Conversion Resources to Reserves.- 30. Balance Between Quantity and Quality of Samples.- PART VII. MINERAL DEPOSIT TYPES.- 31. Lode Gold Deposits.- 32. Uranium Deposits (In-Situ Leach Projects).- 33. Iron-Oxide Deposits.- 34. Bauxite Deposits.- 35. Mineral Sands.