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Geostatistical ore reserve estimation /
Geostatistical Ore Reserve Estimation.
| Call Number: | Libro Electrónico |
|---|---|
| Main Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Amsterdam ; New York : New York :
Elsevier Scientific Pub. Co. ; Distributors for the U.S.A. and Canada, Elsevier/North-Holland,
1977.
|
| Series: | Developments in geomathematics ;
2. |
| Subjects: | |
| Online Access: | Texto completo Texto completo |
Table of Contents:
- Front Cover; Geostatistical ORE Reserve Estimation; Copyright Page; Preface; Introduction; Table of Contents; List of notations; List of abbreviations; CHAPTER 1. ELEMENTARY STATISTICAL THEORY AND APPLICATIONS; 1.1 The vocabulary of statistics in mineral resources estimation; 1.2 A few lines of theory; 1.3 Theoretical models of distributions; 1.4 Independent random variables and dependent random variables; 1.5 Correlation and regression; 1.6 Computational remarks on variances and covariances; CHAPTER 2. CONTRIBUTION OF DISTRIBUTIONS TO MINERAL RESERVES PROBLEMS
- 2.1 The precision of a sampling campaign and prediction of the effect of further sampling2.2 The recovery of ore and metal for a given cut-off; 2.3 Exercises on grade-tonnage curves; 2.4 Conclusion; CHAPTER 3. WHAT IS AN ORE RESERVE CALCULATION?; 3.1 Estimation problems during a mine life; 3.2 What is an ore reserve estimation?; 3.3 Geological features and magnitude of the error; 3.4 The origin and credentials of geostatistics; CHAPTER 4. WHAT IS A VARIOGRAM?; 4.1 Spatial correlation; 4.2 Definition of the variogram; 4.3 The variogram as a geological features descriptor
- 4.4 The variogram as the fundamental function in error computations4.5 Conclusion; 4.6 Exercises; 4.7 Computing an isotropic variogram; 4.8 An alternate variable to the grade: the accumulation; CHAPTER 5. THEORETICAL BASIS OF THE APPROACH: THE THEORY OF REGIONALIZED VARIABLES; 5.1 Foreword; 5.2 Definition of a regionalized variable; 5.3 Three plausible hypotheses; 5.4 Linear combinations and average values; 5.5 Theoretical expression o f variances; 5.6 The nugget effect Co; 5.7 Theoretical models of isotropic variograms; 5.8 How close is the intrinsic hypothesis to reality?
- CHAPTER 6. THE PRACTICE OF VARIOGRAM MODELLING6.1 Definition of the general problem; 6.2 Solving problems in one dimension; 6.3 Solving problems in two dimensions; 6.4 Solving problems in three dimensions; CHAPTER 7. THE EFFECTIVE COMPUTATION OF BLOCK VARIANCES; 7.1 Block grade variances; 7.2 Numerical examples; 7.3 Computing the charts; 7.4 A general program; CHAPTER 8. COMPUTING ESTIMATION VARIANCES: PRECISION PROBLEMS; 8.1 Foreword; 8.2 Exercise: The estimation variance of a block from a set of samples; 8.3 Simplifying principles: composition of variances; 8.4 Exercises
- 8.5 Simultaneous estimation of several variables8.6 Examples; CHAPTER 9. OPTIMIZATION OF THE GRADE ESTIMATION: KRIGING; 9.1 The general problem and its solution; 9.2 Particular cases and examples; 9.3 Krige's kriging, correction factors and actual kriging; 9.4 More properties of kriging; 9.5 Conclusion: implementing kriging; 9.6 Kriging in presence of a drift: universal kriging; CHAPTER 10. THE PRACTICE OF KRIGING; 10.1 Writing an efficient kriging program; 10.2 The design of kriging plans; 10.3 More applications o f kriging