This book addresses the practice of geostatistical simulation to evaluation of mineral reserves, prediction of recovered tonnages and mineral grades and the impact of mining dilution. Such prediction is absolutely critical for mine planning and investment decisions, yet it cannot be made on maps directly interpolated from present data. Various dilution factors need to be introduced to account for ? the support effect: mining unit volumes are vastly different from composite data unit volumes ? the information effect: future selection of ore/waste will be based on vastly different data than that presently available. Geostatistical simulations allow a rigorous evaluation of these effects on reserves recovery. These stochastic simulations have the potential to be for the mining industry what a wind tunnel is for aircraft design. This book is written by two expert geostatisticians--Journel is the pioneer of mining geostatistics--and established academics.
Preface I. Introduction II. The Simulation Approach III. The Volume-Variance Correction Alternative IV. The Reference Data Sets V. Simulation of Recovery: Application VI. Estimation of Recovery via Volume-Variance Correction VII. Conclusions Appendices A List of Acronyms B Common Notation Bibliography Index