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Mineral Resource Estimation / Mario E. Rossi, Clayton V. Deutsch

Auteur principal : Rossi, Mario E.Co-auteur : Deutsch, Clayton V., AuteurPublication : Dordrecht : Springer, cop. 2014Description : 1 vol. (XIV-332 p.) : ill. en noir et en coul. ; 29 cmISBN : 978-1-4020-5716-8.Dewey: 333.851 1Note de contenu : 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 Résumé : 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.Bibliographie: Bibliogr. en fin de chapitres. ; Index p. 327-332.Sujet - Nom d'actualité : Prospection ;Ressources minérales Sujet : Géostatistique minière ;Estimation ressources ;Ressources minières
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Bib. Fontainebleau
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333.851 1 ROS m Checked out 18/09/2020 EMF614147D

Bibliogr. en fin de chapitres. ; Index p. 327-332

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

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