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 quanti...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Rossi, Mario E. (Autor), Deutsch, Clayton V. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Temas:
Mineralogy.
Geotechnical engineering.
Earth sciences.
Geology.
Geotechnical Engineering and Applied Earth Sciences.
Earth Sciences.
Acceso en línea:Texto Completo

MARC

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100 1 |a Rossi, Mario E.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Mineral Resource Estimation  |h [electronic resource] /  |c by Mario E. Rossi, Clayton V. Deutsch. 
250 |a 1st ed. 2014. 
264 1 |a Dordrecht :  |b Springer Netherlands :  |b Imprint: Springer,  |c 2014. 
300 |a XIV, 332 p. 271 illus., 148 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a 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. 
520 |a 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. 
650 0 |a Mineralogy. 
650 0 |a Geotechnical engineering. 
650 0 |a Earth sciences. 
650 0 |a Geology. 
650 1 4 |a Mineralogy. 
650 2 4 |a Geotechnical Engineering and Applied Earth Sciences. 
650 2 4 |a Earth Sciences. 
650 2 4 |a Geology. 
700 1 |a Deutsch, Clayton V.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9789048118434 
776 0 8 |i Printed edition:  |z 9781402057168 
776 0 8 |i Printed edition:  |z 9789401776509 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-1-4020-5717-5  |z Texto Completo 
912 |a ZDB-2-EES 
912 |a ZDB-2-SXEE 
950 |a Earth and Environmental Science (SpringerNature-11646) 
950 |a Earth and Environmental Science (R0) (SpringerNature-43711) 

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