Evaluation of Mineral Reserves: A Simulation Approach by Andre G. JournelEvaluation of Mineral Reserves: A Simulation Approach by Andre G. Journel

Evaluation of Mineral Reserves: A Simulation Approach

byAndre G. Journel, Phaedon C. Kyriakidis

Hardcover | July 7, 2004

Pricing and Purchase Info

$104.36 online 
$176.00 list price save 40%
Earn 522 plum® points

Prices and offers may vary in store


Ships within 1-3 weeks

Ships free on orders over $25

Not available in stores


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.
Andre G. Journel is at Stanford University. Phaedon C. Kyriakidis is at University of California, Santa Barbara.
Title:Evaluation of Mineral Reserves: A Simulation ApproachFormat:HardcoverDimensions:232 pages, 6.3 × 9.21 × 0.59 inPublished:July 7, 2004Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0195166949

ISBN - 13:9780195166941

Look for similar items by category:


Table of Contents

PrefaceI. IntroductionII. The Simulation ApproachIII. The Volume-Variance Correction AlternativeIV. The Reference Data SetsV. Simulation of Recovery: ApplicationVI. Estimation of Recovery via Volume-Variance CorrectionVII. ConclusionsAppendicesA List of AcronymsB Common NotationBibliographyIndex