Applied Mining Geology

1. Introduction
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Part I. Mine Design,Mine Mapping and Sampling

2. Mining Methods
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3. Mine Mapping
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4. Drilling Techniques and Drill Holes Logging
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5. Sampling of the Mine Workings
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6. Geotechnical Logging and Mapping
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7. Dry Bulk Density (DBD) of Rocks
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8. Data Points Location (Surveying)
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Part II. Sampling Errors

9. Introduction to the Theory of Sampling
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10. Quality Control and Assurance (QAQC)
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11. Twin Holes
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12. Database
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Part III. Mineral Resources

13. Data Preparation
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14. Geological Constraints of Mineralisation
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15. Exploratory Data Analysis
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16. Resource Estimation Methods
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Part IV. Applied Mining Geostatistics

17. Introduction to Geostatistics
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18. Variography
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19. Methods of the Linear Geostatistics (Kriging)
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20. Multivariate Geostatistics
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21. Multiple Indicator Kriging
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22. Estimation of the Recoverable Resources
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23. Model Review and Validation
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24. Reconciliation with New Data
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Part V. Estimating Uncertainty

25. Grade Uncertainty
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26. Quantitative Geological Models
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Part VI. Classification

27. Principles of Classification
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28. Methodology of the Mineral Resource Classification
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29. Conversion Resources to Reserves
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30. Balance Between Quantity and Quality of Samples
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Part VII. Mineral Deposit Types

31. Lode Gold Deposits
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32. Uranium Deposits (In-Situ Leach Projects)
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33. Iron-Oxide Deposits
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34. Bauxite Deposits
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35. Mineral Sands
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Avainsanat: Earth Sciences, Mineral Resources, Economic Geology, Quantitative Geology