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Applied Mineral Inventory Estimation

Applied Mineral Inventory Estimation

Applied Mineral Inventory Estimation

Alastair J. Sinclair, University of British Columbia, Vancouver
Garston H. Blackwell, Queen's University, Ontario
No date available
Paperback
9780521021821
Paperback

    Applied Mineral Inventory Estimation presents a comprehensive applied approach to the estimation of mineral resources/reserves with particular emphasis on the geological basis of such estimations, the need for and maintenance of a high quality assay data base, the practical use of a comprehensive exploratory data evaluation, and the importance of a comprehensive geostatistical approach to the estimation methodology. Practical problems and real data are used throughout as illustrations: each chapter ends with a summary of practical concerns, a number of practical exercises and a short list of references for supplementary study. This textbook is suitable for any university or mining school that offers senior undergraduate and graduate student courses on mineral resource/reserve estimation. It will also be valuable for professional mining engineers, geological engineers and geologists working with mineral exploration and mining companies.

    • Only comprehensive and applied textbook on this topic
    • Authors are very experienced teachers of this topic in universities and mining industry
    • Many practical examples, illustrations and problem sets

    Reviews & endorsements

    '… useful at various levels from student to professional. It covers pretty much everything.' Mineral Planning

    See more reviews

    Product details

    No date available
    Paperback
    9780521021821
    400 pages
    246 × 189 × 21 mm
    0.71kg
    207 b/w illus. 68 tables 76 exercises

    Table of Contents

    • 1. Mineral inventory: an overview
    • 2. Geological control of mineral inventory estimation
    • 3. Continuity
    • 4. Statistical concepts in mineral inventory estimation: an overview
    • 5. Data and data quality
    • 6. Exploratory data evaluation
    • 7. Outliers
    • 8. An introduction to geostatistical concepts
    • 9. Spatial analysis: an introduction to semivariograms
    • 10. Kriging
    • 11. Global reserve/resource estimation
    • 12. Grade-Tonnage curves
    • 13. Local estimation of resources/reserves
    • 14. Simulation: an introduction to conditional simulation
    • 15. Bulk density
    • 16. Dilution
    • 17. Geostatistics and reality
    • 18. Reserve/resource classification
    • 19. Metal accounting
    • Bibliography
    • Appendices: A.1. British and international measurement systems: conversion
    • A.2. US Standard sieves
    • A.3. Drill hole and core diameters
    • Index.