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000697150 020__ $$a9781402057175 $$qelectronic book
000697150 020__ $$a1402057172 $$qelectronic book
000697150 020__ $$z9781402057168
000697150 0247_ $$a10.1007/978-1-4020-5717-5$$2doi
000697150 035__ $$aSP(OCoLC)ocn868023845
000697150 035__ $$aSP(OCoLC)868023845
000697150 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDXCP$$dCOO
000697150 049__ $$aISEA
000697150 050_4 $$aTN269
000697150 08204 $$a622.13$$222
000697150 1001_ $$aRossi, M. E.$$q(Mario Eduardo),$$eauthor.
000697150 24510 $$aMineral resource estimation$$h[electronic resource]  /$$cMario E. Rossi, Clayton V. Deutsch.
000697150 264_1 $$aDordrecht ;$$aLondon :$$bSpringer,$$c2014.
000697150 300__ $$a1 online resource.
000697150 336__ $$atext$$btxt$$2rdacontent
000697150 337__ $$acomputer$$bc$$2rdamedia
000697150 338__ $$aonline resource$$bcr$$2rdacarrier
000697150 504__ $$aIncludes bibliographical references and index.
000697150 5050_ $$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.
000697150 506__ $$aAccess limited to authorized users.
000697150 520__ $$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 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.
000697150 588__ $$aDescription based on print version record.
000697150 650_0 $$aMines and mineral resources.
000697150 650_0 $$aGeology$$xStatistical methods.
000697150 650_0 $$aOres$$xSampling and estimation.
000697150 7001_ $$aDeutsch, Clayton V.,$$eauthor.
000697150 77608 $$iPrint version:$$aRossi, Mario E.$$tMineral resource estimation$$z9781402057168$$w(OCoLC)222158766
000697150 85280 $$bebk$$hSpringerLink
000697150 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-1-4020-5717-5$$zOnline Access
000697150 909CO $$ooai:library.usi.edu:697150$$pGLOBAL_SET
000697150 980__ $$aEBOOK
000697150 980__ $$aBIB
000697150 982__ $$aEbook
000697150 983__ $$aOnline
000697150 994__ $$a92$$bISE