Table of Contents
Preface
I Introduction
I.1 Statement of the Problem and Notation
I.2 Perfect Selection
I.3 Actual Selection
I.4 Estimation and Simulation
I.5 Scope of the Book
II The Simulation Approach
II.1 Point Grade Simulation
II.2 Simulation of SMU Grades
II.3 Simulation of Selection Criteria
II.4 Simulation of Recovery Functions
II.5 Reflections
III The Volume-Variance Correction Alternative
III.1 Indicator Kriging
III.2 Volume-Variance Correction
III.3 Permanence of Distribution
III.4 Estimates of Recovery Functions
III.5 Summary
IV The Reference Data Sets
IV.1 The Ely Reference Data Set
IV.2 Reference Perfect Selection
IV.3 Reference Actual Selection
IV.3.1 Blasthole Data Generation
IV.3.2 Kriging from Future Blasthole Data
IV.3.3 Actual Selection Based on Kriging Estimates
IV.4 The Ely2 Reference Data Set
IV.4.1 Generation of the Ely2 Reference Data
IV.4.2 Ely2: Perfect Selection
IV.4.3 Ely2: Actual Selection
IV.5 Summary
V Simulation of Recovery: Application
V.1 Simulation of Point Support Grades
V.2 Simulation of Perfect Selection
V.3 Simulation of Actual Selection
V.4 Application to the Ely2 Data Set
V.4.1 Ely2: Simulation of Point Support Grades
V.4.2 Ely2: Simulation of Perfect Selection
V.4.3 Ely2: Simulation of Actual Selection
V.5 Summary
VI Estimation of Recovery via Volume-Variance Correction
VI.1 Volume-Variance Correction
VI.2 Volume-Variance Correction Before Compositing: Results
VI.3 Volume-Variance Correction After Compositing: Results
VI.4 Comparison with Simulation Results
VI.5 Volume-Variance Correction: Results for Ely2
VI.6 Summary
VII Conclusions
Appendices
A List of Acronyms
B Common Notation
Bibliography
Index