Geostatistical Ore Reserve Estimation
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Geostatistical Ore Reserve Estimation
Author | : M. David |
Publsiher | : Elsevier |
Total Pages | : 385 |
Release | : 2012-12-02 |
Genre | : Technology & Engineering |
ISBN | : 9780444597618 |
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Developments in Geomathematics, 2: Geostatistical Ore Reserve Estimation focuses on the methodologies, processes, and principles involved in geostatistical ore reserve estimation, including the use of variogram, sampling, theoretical models, and variances and covariances. The publication first takes a look at elementary statistical theory and applications; contribution of distributions to mineral reserves problems; and evaluation of methods used in ore reserve calculations. Concerns cover estimation problems during a mine life, origin and credentials of geostatistics, precision of a sampling campaign and prediction of the effect of further sampling, exercises on grade-tonnage curves, theoretical models of distributions, and computational remarks on variances and covariances. The text then examines variogram and the practice of variogram modeling. Discussions focus on solving problems in one dimension, linear combinations and average values, theoretical models of isotropic variograms, the variogram as a geological features descriptor, and the variogram as the fundamental function in error computations. The manuscript ponders on statistical problems in sample preparation, orebody modeling, grade-tonnage curves, ore-waste selection, and planning problems, the practice of kriging, and the effective computation of block variances. The text is a valuable source of data for researchers interested in geostatistical ore reserve estimation.
Geostatistical Ore Reserve Estimation
Author | : Michel David,Mackay School of Mines |
Publsiher | : Unknown |
Total Pages | : 304 |
Release | : 1974 |
Genre | : Mine valuation |
ISBN | : OCLC:3208357 |
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Handbook of Applied Advanced Geostatistical Ore Reserve Estimation
Author | : Michel David |
Publsiher | : Amsterdam ; New York : Elsevier : Distributors for the United States and Canada Elsevier Science |
Total Pages | : 216 |
Release | : 1988 |
Genre | : Reference |
ISBN | : 0444429182 |
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Distribution related problems. Variogram related problems. Block variances. Estimation variance. Kriging. Recoverable reserves. Applied simulation. Classification of ore reserves. Check samples and duplicates.
A Short Course on Geostatistical Ore Reserve Estimation
Author | : Harvey Peter Knudsen,Young C. Kim |
Publsiher | : Unknown |
Total Pages | : 294 |
Release | : 1978 |
Genre | : Geology |
ISBN | : STANFORD:36105032610383 |
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A Comparative Study of the Geostatistical Ore Reserve Estimation Method Over the Conventional Methods
Author | : Young C. Kim,Harvey Peter Knudsen |
Publsiher | : Unknown |
Total Pages | : 208 |
Release | : 1975 |
Genre | : Geology |
ISBN | : UOM:39015095109024 |
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Advanced Geostatistics in Ore Reserve Estimation and Mine Planning
Author | : Young C. Kim |
Publsiher | : Unknown |
Total Pages | : 250 |
Release | : 1977 |
Genre | : Mine valuation |
ISBN | : UOM:39015095095918 |
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A Guide to the Understanding of Ore Reserve Estimation
Author | : Haddon F. King,Denis W. McMahon,George J. Bujtor |
Publsiher | : Unknown |
Total Pages | : 38 |
Release | : 1982 |
Genre | : Mining geology |
ISBN | : UCAL:B4120885 |
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Mineral Resource Estimation
Author | : Mario E. Rossi,Clayton V. Deutsch |
Publsiher | : Springer Science & Business Media |
Total Pages | : 332 |
Release | : 2013-12-21 |
Genre | : Science |
ISBN | : 9781402057175 |
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Mineral resource estimation has changed considerably in the past 25 years: geostatistical techniques have become commonplace and continue to evolve; computational horsepower has revolutionized all facets of numerical modeling; mining and processing operations are often larger; and uncertainty quantification is becoming standard practice. Recent books focus on historical methods or details of geostatistical theory. So there is a growing need to collect and synthesize the practice of modern mineral resource estimation into a book for undergraduate students, beginning graduate students, and young geologists and engineers. It is especially fruitful that this book is written by authors with years of relevant experience performing mineral resource estimation and with years of relevant teaching experience. This comprehensive textbook and reference fills this need.