Mineral Resource Estimation
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(Sprache: Englisch)
This book collects and synthesizes the practice of modern mineral resource estimation, taking on geostatistical techniques, advances in computing power and numerical modeling, larger mining and processing operations and uncertainty quantification.
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Produktinformationen zu „Mineral Resource Estimation “
This book collects and synthesizes the practice of modern mineral resource estimation, taking on geostatistical techniques, advances in computing power and numerical modeling, larger mining and processing operations and uncertainty quantification.
Klappentext zu „Mineral Resource Estimation “
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.
Inhaltsverzeichnis zu „Mineral Resource Estimation “
1. Introduction2. Statistical Tools and Concepts
3. Geologcial Controls and Block Modeling
4. Definition of Estimation Domains
5. Data
6. Spatial Continuity
7. Mining Dilution
8. Recoverable Resources: Estimation
9. Recoverable Resources: Simulation
11. Model Validations and Reconciliations
12. Uncertainty and Risk
13. Short Term Models
14. Case Studies
15. Conclusions
- References
- Appendix A: Glossary
- Appdendix B: Basic Sampling Theory
- Appendix C: Probability Theory and Random Functions
- Appendix D: Estimation Details
- Appendix E: Simulation Details
- Index
Bibliographische Angaben
- Autoren: Mario E. Rossi , Clayton V. Deutsch
- 2014, Repr. d. Ausg. v. 2013., 332 Seiten, mit farbigen Abbildungen, Masse: 21,5 x 28,5 cm, Gebunden, Englisch
- Verlag: Springer Netherlands
- ISBN-10: 1402057164
- ISBN-13: 9781402057168
- Erscheinungsdatum: 13.01.2014
Sprache:
Englisch
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