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Record Nr. |
UNINA9910298374503321 |
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Autore |
Rossi Mario E |
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Titolo |
Mineral Resource Estimation / / by Mario E. Rossi, Clayton V. Deutsch |
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Pubbl/distr/stampa |
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Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (XIV, 332 p. 271 illus., 148 illus. in color.) |
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Disciplina |
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Soggetti |
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Mines and mineral resources |
Geotechnical engineering |
Earth sciences |
Geology, Economic |
Mineral Resources |
Geotechnical Engineering & Applied Earth Sciences |
Earth Sciences, general |
Economic Geology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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 -- Index. |
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Sommario/riassunto |
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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 |
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