Mineral resource estimation [electronic resource] / Mario E. Rossi, Clayton V. Deutsch.
Rossi, M. E. (Mario Eduardo), author.; Deutsch, Clayton V., author.
2014
TN269
Available Online

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Title Mineral resource estimation [electronic resource] / Mario E. Rossi, Clayton V. Deutsch.
Author Rossi, M. E. (Mario Eduardo), author.
ISBN 9781402057175 electronic book
1402057172 electronic book
9781402057168
DOI https://doi.org/10.1007/978-1-4020-5717-5
Published Dordrecht ; London : Springer, 2014.
Language English
Description 1 online resource.
Item Number 10.1007/978-1-4020-5717-5 doi
Call Number TN269
Dewey Decimal Classification 622.13
Summary 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 especiallyfruitful that this book iswritten by authors with years of relevant experience performing mineral resource estimation and with years of relevant teaching experience. This comprehensivetextbook and reference fills this need.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Deutsch, Clayton V., author.
Available in Other Form Mineral resource estimation
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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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.

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