- 304 pages
- English
- ePUB (mobile friendly)
- Only available on web
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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Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Dedication
- Table of Contents
- Foreword
- Preface
- About the authors
- Acknowledgements
- List of abbreviations
- Units
- Definitions
- Statistical and mathematical symbols
- Formula sheet
- Chapter 1 Setting the scene for mineral resource estimation
- Chapter 2 A brief history of mining geostatistics
- Chapter 3 Sampling for mineral resources estimation
- Chapter 4 Geological considerations in mineral resource estimation
- Chapter 5 Preliminary mineral resources estimation processes
- Chapter 6 Mineral resources and mineral reserves estimation process
- Chapter 7 Post-mineral resources estimation processes
- Chapter 8 Nonlinear geostatistical methods and conversion of mineral reserves
- Chapter 9 Grade control in mineral resources management and mine planning
- Chapter 10 Mine-to-mill reconciliation for efficiency, resource utilisation, and profitability
- Chapter 11 Cut-off grade, net present value, and profit margin optimisation
- Appendix 1: Log transformation
- Appendix 2: Normal score transformation
- Appendix 3: QâQ plot (quantileâquantile plot)
- Appendix 4: Nearest neighbour (NN)
- Appendix 5: Inverse distance weighting
- Appendix 6: Krigeâs relationship
- Appendix 7: Semi-variogram
- Appendix 8: Sampling
- Appendix 9: Core logging
- Appendix 10: Calculating the economic breakeven
- Appendix 11: Hands-on practical python codes
- Index