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024 7 $a10.1007/978-1-4020-5717-5
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100   $a20131221d2014      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMineral Resource Estimation /$fby Mario E. Rossi, Clayton V. Deutsch
205   $a1st ed. 2014.
210  1$aDordrecht :$cSpringer Netherlands :$cImprint: Springer,$d2014.
215   $a1 online resource (XIV, 332 p. 271 illus., 148 illus. in color.) 
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a1-4020-5716-4 
320   $aIncludes bibliographical references and index.
327   $a1. 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.
330   $aMineral 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.
606   $aMineral resources
606   $aGeotechnical engineering
606   $aEarth sciences
606   $aEconomic geology
606   $aMineral Resources$3https://scigraph.springernature.com/ontologies/product-market-codes/G38010
606   $aGeotechnical Engineering & Applied Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/G37010
606   $aEarth Sciences, general$3https://scigraph.springernature.com/ontologies/product-market-codes/G00002
606   $aEconomic Geology$3https://scigraph.springernature.com/ontologies/product-market-codes/G17010
615  0$aMineral resources.
615  0$aGeotechnical engineering.
615  0$aEarth sciences.
615  0$aEconomic geology.
615 14$aMineral Resources.
615 24$aGeotechnical Engineering & Applied Earth Sciences.
615 24$aEarth Sciences, general.
615 24$aEconomic Geology.
676   $a622.13
700   $aRossi$b Mario E$4aut$4http://id.loc.gov/vocabulary/relators/aut$0139615
702   $aDeutsch$b Clayton V$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910298374503321
996   $aMineral Resource Estimation$92504450
997   $aUNINA