Geostatistical Ore Reserve Estimation ( Developments in Geomathematics )

Publication series :Developments in Geomathematics

Author: David   M.  

Publisher: Elsevier Science‎

Publication year: 2012

E-ISBN: 9780444597618

P-ISBN(Paperback): 9780444415325

P-ISBN(Hardback):  9780444415325

Subject:

Language: ENG

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Description

Developments in Geomathematics, 2: Geostatistical Ore Reserve Estimation focuses on the methodologies, processes, and principles involved in geostatistical ore reserve estimation, including the use of variogram, sampling, theoretical models, and variances and covariances.

The publication first takes a look at elementary statistical theory and applications; contribution of distributions to mineral reserves problems; and evaluation of methods used in ore reserve calculations. Concerns cover estimation problems during a mine life, origin and credentials of geostatistics, precision of a sampling campaign and prediction of the effect of further sampling, exercises on grade-tonnage curves, theoretical models of distributions, and computational remarks on variances and covariances. The text then examines variogram and the practice of variogram modeling. Discussions focus on solving problems in one dimension, linear combinations and average values, theoretical models of isotropic variograms, the variogram as a geological features descriptor, and the variogram as the fundamental function in error computations. The manuscript ponders on statistical problems in sample preparation, orebody modeling, grade-tonnage curves, ore-waste selection, and planning problems, the practice of kriging, and the effective computation of block variances.

The text is a valuable source of data for researchers interested in geostatistical ore reserve estimation.

Chapter

Front Cover

pp.:  1 – 4

Copyright Page

pp.:  5 – 10

Preface

pp.:  6 – 7

Introduction

pp.:  7 – 17

Table of Contents

pp.:  10 – 6

List of notations

pp.:  17 – 21

List of abbreviations

pp.:  21 – 22

CHAPTER 1. ELEMENTARY STATISTICAL THEORY AND APPLICATIONS

pp.:  22 – 54

CHAPTER 2. CONTRIBUTION OF DISTRIBUTIONS TO MINERAL RESERVES PROBLEMS

pp.:  54 – 70

CHAPTER 3. WHAT IS AN ORE RESERVE CALCULATION?

pp.:  70 – 94

CHAPTER 4. WHAT IS A VARIOGRAM?

pp.:  94 – 112

CHAPTER 5. THEORETICAL BASIS OF THE APPROACH: THE THEORY OF REGIONALIZED VARIABLES

pp.:  112 – 136

CHAPTER 6. THE PRACTICE OF VARIOGRAM MODELLING

pp.:  136 – 196

CHAPTER 7. THE EFFECTIVE COMPUTATION OF BLOCK VARIANCES

pp.:  196 – 212

CHAPTER 8. COMPUTING ESTIMATION VARIANCES: PRECISION PROBLEMS

pp.:  212 – 258

CHAPTER 9. OPTIMIZATION OF THE GRADE ESTIMATION: KRIGING

pp.:  258 – 296

CHAPTER 10. THE PRACTICE OF KRIGING

pp.:  296 – 322

CHAPTER 11. GRADE-TONNAGE CURVES, ORE-WASTE SELECTION AND PLANNING PROBLEMS

pp.:  322 – 342

CHAPTER 12. OREBODY MODELLING

pp.:  342 – 352

CHAPTER 13. STATISTICAL PROBLEMS IN SAMPLE PREPARATION

pp.:  352 – 368

Bibliography

pp.:  368 – 378

Index

pp.:  378 – 386

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