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Volumn 20, Issue 2, 2011, Pages 89-93

Probabilistic Estimates of Number of Undiscovered Deposits and Their Total Tonnages in Permissive Tracts Using Deposit Densities

Author keywords

mineral deposit density; Quantitative mineral resource assessment; Undiscovered resources

Indexed keywords


EID: 79955932111     PISSN: 15207439     EISSN: 15738981     Source Type: Journal    
DOI: 10.1007/s11053-011-9137-1     Document Type: Article
Times cited : (18)

References (6)
  • 2
    • 77954083693 scopus 로고    scopus 로고
    • Undiscovered orogenic gold endowment in Northern Victoria, Australia
    • Lisitsin, V. A., Moore, D. H., Olshina, A., and Willman, C. E., 2010, Undiscovered orogenic gold endowment in Northern Victoria, Australia: Ore Geol. Rev., v. 38, no. 3, p. 251-269.
    • (2010) Ore Geol. Rev. , vol.38 , Issue.3 , pp. 251-269
    • Lisitsin, V.A.1    Moore, D.H.2    Olshina, A.3    Willman, C.E.4
  • 3
    • 44949211515 scopus 로고    scopus 로고
    • Mineral deposit densities for estimating mineral resources
    • Singer, D. A., 2008, Mineral deposit densities for estimating mineral resources: Math. Geosci., v. 40, no. 1, p. 33-46.
    • (2008) Math. Geosci. , vol.40 , Issue.1 , pp. 33-46
    • Singer, D.A.1
  • 4
    • 79955506830 scopus 로고    scopus 로고
    • A lognormal distribution of metal resources
    • Singer, D. A., 2011, A lognormal distribution of metal resources: J. China Univ. Geosci., v. 36, no. 2, p. 1-8.
    • (2011) J. China Univ. Geosci. , vol.36 , Issue.2 , pp. 1-8
    • Singer, D.A.1
  • 5
    • 79955943394 scopus 로고    scopus 로고
    • Probabilistic estimates of number of mineral deposits using deposit densities
    • 33rd International Geologic Congress, Oslo, Norway August 2008, 1
    • Singer, D. A., and Kouda, R., 2008, Probabilistic estimates of number of mineral deposits using deposit densities, in Abstract CD-ROM, 33rd International Geologic Congress, Oslo, Norway, 6-14 August 2008, 1 p.
    • (2008) In Abstract CD-ROM , pp. 6-14
    • Singer, D.A.1    Kouda, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.