By Pär Weihed
This e-book provides the result of the main european venture Promine. For the 1st time there's now a ecu database to be had on mineral deposits, in addition to 3D, 4D and predictive versions of significant mineral belts in Europe: Fennoscandia (Skellefteå and Vihanti-Pyhäsalmi), the Fore-Sudetic basin (Kupferschiefer deposits in Poland and Germany), the Hellenic belt in northern Greece, and the Iberian Pyrite belt and Ossa Morena quarter in Spain and Portugal. The booklet additionally describes the modelling strategies utilized and the way types of software program are used for 3- and 4-dimensional modelling. additionally, primary descriptions of ways to construct the database constitution of 3-dimensional geological facts are supplied and either second and 3D predictive versions are provided for the most mineral belts of Europe.
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Additional info for 3D, 4D and Predictive Modelling of Major Mineral Belts in Europe
Group 06: IOCG (Fig. 5a) Theoretical commodity association: Fe, Cu, Au, (P, REE, U, Co) This type of mineralization can be found essentially in two Palaeoproterozoic districts in the Fennoscandian Shield (Weihed 2001). The most important is Kiruna (northern Sweden), which is a type locality for IOCG, and the other one is Bergslagen (central Sweden). These districts contain large world-class iron deposits, with a typical magnetite-apatite paragenesis and sodium alteration. These districts also contain copper sulphide deposits that are interpreted as D.
The remaining 21 % are distributed in other types with lower enrichment ratios. The “base metals veins” type is only slightly enriched probably because it includes some parageneses (U, F, Co …) that are not favourable to the presence of germanium. 6 Enrichment ratios (ER) of deposit types containing germanium Metallogenic type Base metals veins Carbonate-hosted Epithermal VMS Igneous felsic Igneousintermediate Igneous replacement Orogenic gold Residual deposits SandStone-and Shale-hosted Sedimentary deposits No.
This method requires, on a speciﬁc area, a set of training points (mineral occurrences) and a coverage of polygons (geological map). Where sufﬁcient data are available, it can be applied to estimate the relative importance of evidence by statistical means. Calculating the WofE on a geological map, covering several geological formations, is similar to using a multi-class evidential theme. The calculation of WofE characterizes each formation by three numerical values: W+, W− and C (see Bonham-Carter (1994) and Kemp et al.
3D, 4D and Predictive Modelling of Major Mineral Belts in Europe by Pär Weihed