Geostatistics Notes for Practitioners
eBook - ePub

Geostatistics Notes for Practitioners

  1. 304 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Geostatistics Notes for Practitioners

About this book

This book provides a practical perspective of all the processes involved in estimating mineral resources and reserves, including mine-to-mill reconciliation. It provides an integrated step-by-step explanation of processes for performing each step, including insight from academic and industry practitioners. Each chapter details a specific aspect of the estimation processes in a practical manner. It contains examples and case studies to illustrate the practical application of geostatistics in mineral resource estimation, mineral reserve conversion, and reconciliation.

Features

  • Provides a step-by-step guide with over 10,000 lines of Python code for hands-on demonstration, from start to finish, for both linear and non-linear geostatistical methods.
  • Explains practical geostatistics processes and functionality.
  • Simplifies explanation of mathematical /statistical concepts and application.
  • Discusses generalised examples to aid the process steps.
  • Reviews processes involved in the mineral resources' estimation and ore reserve conversion.

This book is intended for third-year and postgraduate students in Mineral Resources Management, Geology, Spatial Statistics, and Mining Engineering, as well as practising professionals.

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Yes, you can access Geostatistics Notes for Practitioners by Glen Nwaila,Leon Tolmay,Mark Burnett in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Mining Engineering. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2024
Print ISBN
9781032599267
eBook ISBN
9781040105177

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. Foreword
  8. Preface
  9. About the authors
  10. Acknowledgements
  11. List of abbreviations
  12. Units
  13. Definitions
  14. Statistical and mathematical symbols
  15. Formula sheet
  16. Chapter 1 Setting the scene for mineral resource estimation
  17. Chapter 2 A brief history of mining geostatistics
  18. Chapter 3 Sampling for mineral resources estimation
  19. Chapter 4 Geological considerations in mineral resource estimation
  20. Chapter 5 Preliminary mineral resources estimation processes
  21. Chapter 6 Mineral resources and mineral reserves estimation process
  22. Chapter 7 Post-mineral resources estimation processes
  23. Chapter 8 Nonlinear geostatistical methods and conversion of mineral reserves
  24. Chapter 9 Grade control in mineral resources management and mine planning
  25. Chapter 10 Mine-to-mill reconciliation for efficiency, resource utilisation, and profitability
  26. Chapter 11 Cut-off grade, net present value, and profit margin optimisation
  27. Appendix 1: Log transformation
  28. Appendix 2: Normal score transformation
  29. Appendix 3: Q–Q plot (quantile–quantile plot)
  30. Appendix 4: Nearest neighbour (NN)
  31. Appendix 5: Inverse distance weighting
  32. Appendix 6: Krige’s relationship
  33. Appendix 7: Semi-variogram
  34. Appendix 8: Sampling
  35. Appendix 9: Core logging
  36. Appendix 10: Calculating the economic breakeven
  37. Appendix 11: Hands-on practical python codes
  38. Index