Mineral Resource Estimation - Mario E. Rossi, Clayton V. Deutsch

Mineral Resource Estimation

Buch | Softcover
332 Seiten
2017 | Softcover reprint of the original 1st ed. 2014
Springer (Verlag)
978-94-017-7650-9 (ISBN)
69,54 inkl. MwSt
Mineral resource estimation has changed considerably in the past 25 years: geostatistical techniques have become commonplace and continue to evolve; 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.
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.

1. Introduction.- 2. Statistical Tools and Concepts.- 3. Geological Controls and Block Modeling.- 4. Definition of Estimation Domains.- 5. Data Collection and Handling.- 6. Spatial Continuity.- 7. Mining Dilution.- 8. Recoverable Resources: Estimation.- 9. Recoverable Resources: Probabilistic Estimation.- 10. Recoverable Resources: Simulation.- 11. Resource Model Validations and Reconciliations.- 12. Uncertainty and Risk.- 13. Short Term Models.- 14. Case Studies.- 15. Conclusions.- Index.

Erscheinungsdatum
Zusatzinfo 148 Illustrations, color; 123 Illustrations, black and white; XIV, 332 p. 271 illus., 148 illus. in color.
Verlagsort Dordrecht
Sprache englisch
Maße 210 x 279 mm
Themenwelt Naturwissenschaften Geowissenschaften Geologie
Naturwissenschaften Geowissenschaften Mineralogie / Paläontologie
Schlagworte Applied Statistics • Geologic modelling • Geostatistics • Mining engineering • Ore reserve estimation
ISBN-10 94-017-7650-4 / 9401776504
ISBN-13 978-94-017-7650-9 / 9789401776509
Zustand Neuware
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