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.
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