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 onmaps directly interpolated from present data. Various dilution factors need to be introduced to account for DT the support effect: mining unit volumes are vastly different from composite data unit volumes DT the information effect: future selection of ore/waste will be based on vastly different datathan 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 expertgeostatisticians--Journel is the pioneer of mining geostatistics--and established academics.