Library Services | Technical University of Kenya

Your cart is empty.
Normal view MARC view ISBD view

Mineral Resource Estimation [electronic resource] / by Mario E. Rossi, Clayton V. Deutsch.

By: Rossi, Mario E [author.].
Contributor(s): Deutsch, Clayton V [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Dordrecht : Springer Netherlands : Imprint: Springer, 2014Description: XIV, 332 p. 271 illus., 148 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781402057175.Subject(s): Geography | Geology, economic | Mines and mineral resources | Earth Sciences | Mineral Resources | Geotechnical Engineering & Applied Earth Sciences | Earth Sciences, general | Economic Geology | Earth Sciences, generalDDC classification: 553 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

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.

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.

There are no comments for this item.

Log in to your account to post a comment.

2017 | The Technical University of Kenya Library | +254(020) 2219929, 3341639, 3343672 | library@tukenya.ac.ke | Haile Selassie Avenue