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Data mining to discover the causes of internal reflectivity within the Ni-Cu-PGE-bearing Kevitsa intrusion
University of Helsinki.
University of Helsinki.
University of Helsinki.
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics. (Applied Geophysics)ORCID iD: 0000-0003-1241-2988
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2016 (English)In: / [ed] Geological Survey of Finland, Helsinki, Finland: University of Helsinki, 2016, 43-46 p.Conference paper, Abstract (Refereed)
Abstract [en]

The Kevitsa Ni-Cu-PGE disseminated sulphide deposit is hosted by the Kevitsa mafic to ultramafic intrusion, located within the Central Lapland Greenstone Belt in northern Finland. A 3D seismic reflection survey was conducted in Kevitsa in 2010 for mine planning and deep mineral exploration purposes. Within the Kevitsa resource area, the 3D seismic data are characterized by laterally continuous reflections. Here we use data mining, namely Self-Organizing Map (SOM), analysis to better understand the possible causes of reflectivity within the Kevitsa intrusion. The results show that the mineralized zones within the intrusion could be potential causes of reflectivity, and hence could set potential exploration targets in the area.

Place, publisher, year, edition, pages
Helsinki, Finland: University of Helsinki, 2016. 43-46 p.
Report / University of Helsinki, Institute of Seismology. S, ISSN 0357-3060 ; 65
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URN: urn:nbn:se:uu:diva-307697ISBN: 978-952-10-9588-7 (print)OAI: oai:DiVA.org:uu-307697DiVA: diva2:1048124
Lithosphere 2016 Symposium, November 9-11, 2016, Espoo, Finland
Available from: 2016-11-20 Created: 2016-11-20 Last updated: 2017-01-17Bibliographically approved

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Malehmir, Alireza
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