Evaluation of Mineral Reserves - A Simulation Approach

Zusatztext The approach is clearly laid out, the book is well written, and for the most part readily accessible...the authors have done the subject a favour by (re)introducing the stochastic simulation as applied to the evaluation of mineral reserves. Chris Hawsworth, University of Bristol, Geoscientist, February 2006. Klappentext 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. Zusammenfassung Geostatistical simulations have the potential to be for the mining industry what a wind tunnel is for aircraft design. They allow mining engineers to evaluate the impact of various mining scenarios on the recovery of mineral reserves. This book is written by two expert geostatisticians - Journel is the pioneer of mining geostatistics - and established academics.

Product details

• Authors: A. G. Journel, Andre G. Journel, André G. Journel, Andre G. (Professor of Earth Sciences Journel, Andre G./ Kyriakidis Journel, Phaedon C. Kyriakidis, Phaedon C. (Professor of Geography Kyriakidis, Kyriakidis Phaedon C.
• Publisher: Oxford University Press
• Languages: English
• Product format: Hardback
• Released: 27.05.2004
• EAN: 9780195166941
• ISBN: 978-0-19-516694-1
• Dimensions: 165 mm x 235 mm x 19 mm
• Series: Applied Geostatistics Series; Applied Geostatistics; Applied Geostatistics
• Subjects: Natural sciences, medicine, IT, technology > Biology > Ecology; TECHNOLOGY & ENGINEERING / Mining, SCIENCE / Earth Sciences / Geology, Geology, geomorphology and the lithosphere, Geology & The Lithosphere, Mining technology & engineering, Mining technology and engineering