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TitleA global database of gold deposits: quantification of multi-element ore signatures
DownloadDownload (whole publication)
AuthorGrunsky, E C; Dubé, B; Hagemann, S; Brauhart, C W
SourceTargeted Geoscience Initiative 4: Contributions to the understanding of Precambrian lode gold deposits and implications for exploration; by Dubé, B (ed.); Mercier-Langevin, P (ed.); Geological Survey of Canada, Open File 7852, 2015 p. 271-285, https://doi.org/10.4095/296647 (Open Access)
Year2015
PublisherNatural Resources Canada
Documentopen file
Lang.English
Mediaon-line; digital
RelatedThis publication is contained in Dubé, B; Mercier-Langevin, P; (2015). Targeted Geoscience Initiative 4: Contributions to the understanding of Precambrian lode gold deposits and implications for exploration, Geological Survey of Canada, Open File 7852
File formatpdf
ProvinceBritish Columbia; Alberta; Saskatchewan; Manitoba; Ontario; Quebec; New Brunswick; Nova Scotia; Prince Edward Island; Newfoundland and Labrador; Northwest Territories; Yukon; Nunavut
NTS1; 2; 3; 10; 11; 12; 13; 14; 15; 16; 20; 21; 22; 23; 24; 25; 26; 27; 28; 29; 30; 31; 32; 33; 34; 35; 36; 37; 38; 39; 40; 41; 42; 43; 44; 45; 46; 47; 48; 49; 52; 53; 54; 55; 56; 57; 58; 59; 62; 63; 64; 65; 66; 67; 68; 69; 72; 73; 74; 75; 76; 77; 78; 79; 82; 83; 84; 85; 86; 87; 88; 89; 92; 93; 94; 95; 96; 97; 98; 99; 102; 103; 104; 105; 106; 107; 114O; 114P; 115; 116; 117; 120; 340; 560
AreaCanada; United States; Australia; Japan; New Zealand; Bulgaria; Romania; Philippines; South Africa; Brazil; Zimbabwe
Lat/Long WENS-180.0000 180.0000 90.0000 -90.0000
Subjectseconomic geology; geochemistry; mineral deposits; mineral occurrences; gold; mineralization; whole rock geochemistry; analytical methods; exploration methods; Archean; Precambrian
Illustrationsplots; tables
ProgramGold Ore Systems, Targeted Geoscience Initiative (TGI-4)
Released2015 06 11
AbstractA new approach to characterizing and classifying mineral deposits based on whole-rock geochemistry is currently being developed jointly by the mineral exploration industry, the University of Western Australia, and the Geological Survey of Canada.
Based on 24 elements (Fe, Co, Ni, Re, Pd, Pt, Cu, Ag, Au, Zn, Cd, In, Tl, Pb, Hg, As, Sb, Bi, Te, Mo, W, Sn, La, U), a centred log-ratio transformation is used for representative samples of mineral deposits. Success of this approach requires the use of rigorous analytical protocols that have also been established for this project.
A component of this project is focused on the development of a statistical classification approach to cataloguing ore deposit styles. Research done to date, shows that this methodology has successfully identified a wide range of mineral deposit types including porphyry, lode gold, PGE, skarn, sedimentary rock-hosted massive sulphides, volcanic-hosted massive sulphides and Mississippi-type lead-zinc deposits. This contribution focuses solely on gold deposits.
Geochemical data of unknown metallogenic affinities can be classified and existing classifications can be enhanced/re-defined. The results indicate that trends and differences of a spectrum of gold deposits can be successfully classified using statistical methodologies and metrics for expressing ore chemistry. In conjunction with geological knowledge, this database and associated methodologies will enhance the recognition and classification of a range of lode gold deposit types and could be useful in both greenfields and brownfields exploration programs.
GEOSCAN ID296647