THE MINERAL DEPOSIT DATABASE OF THE FENNOSCANDIAN SHIELD

System (GIS) for Karelia (Cassard et al., 2004) notably includes a mineral deposit thematic layer based on a specific database for which a first presentation has been done at an early stage (Leistel et al., 2004). The database is now almost completed for the Fennoscandian shield and the purpose of t...

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Bibliographic Details
Main Authors: Jean-marc Leistel, Andrey Tkachev, Daniel Cassard, Sergey Cherkasov, Yves Husson, Andor L. W. Lips
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.600.3811
http://rfml.ru/scipubs/s_4_en_20060824_the_mineral_deposit_database_of_the_fennoscandian.pdf
Description
Summary:System (GIS) for Karelia (Cassard et al., 2004) notably includes a mineral deposit thematic layer based on a specific database for which a first presentation has been done at an early stage (Leistel et al., 2004). The database is now almost completed for the Fennoscandian shield and the purpose of this paper is to present the first conclusions that can be withdrawn. About 730 deposits are presently indexed in the database, mostly distributed in Finland (113 deposits), Norway (150 deposits), Russia (284 deposits) and Sweden (173 deposits). All types of commodities are taken into account: metals, industrial minerals, gemstones, etc. The distribution of deposits for several selected commodities is shown as an example in fig.1 and 2, and their characteristics in respect with their geotectonic domain are presented in table 1. The attributes described for each deposit include (as far as the information is available): the coordinates in decimal degree, the operational status (undeveloped, under development, in production, etc), the commodities produced or contained and the respective economic data, the type of ore, the nature of the deposit, the morphology, the lithology and age of host rocks, the age of the mineralization, the mineralogy, the nature of alteration, and a list of references. The deposits are also classified according to their total potential (past production + reserves + resources) calculated for each commodity, using the BRGM’s classification