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Why 3D seismic data are an asset for both exploration and mine planning? Example of Kevitsa Ni-Cu-PGE, Finland
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics.ORCID iD: 0000-0003-1241-2988
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics.
First Quantum Minerals Ltd..
University of Helsinki.
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2016 (English)In: / [ed] Geological Survey of Finland, Helsinki, 2016, 83-86 p.Conference paper, Abstract (Refereed)
Abstract [en]

Kevitsa is a disseminated Ni-Cu-PGE ore body in northern Finland, hosted by an extremely high-velocity (6-8 km/s) mafic-ultramafic intrusion. It is currently being mined at a depth of about 100 m using open-pit mining method. The mine life is expected to be about 20 years, with the final pit depth at around 400-500 m. Based on a series of 2D seismic surveys and given the expected mine life, a high-resolution 3D seismic survey was justified and acquired in winter 2010. Various researchers and teams have exploited these data because of the unique nature of geology, and the data being challenging to interpret but rich in reflectivity. In this study, we present 3D reflection data processing results and complement them with 3D first break tomography work recently carried out. The combined results allow to provide some insights about the nature of some of the reflectors. It for example shows how the tomography results can be used for rock quality studies and further planning of the pit. In particular, we observe a major fracture system, resolved by the tomography results and running in the middle of the planned pit, with the reflection data providing information about its depth extent, estimated to be at least about 500 m. We argue that 3D seismic data should be acquired prior to commencement of mining activities in order to maximize exploration efficiency at depth, but also to optimize mining as it continues towards depth.

Place, publisher, year, edition, pages
Helsinki, 2016. 83-86 p.
National Category
Geophysics
Identifiers
URN: urn:nbn:se:uu:diva-308465OAI: oai:DiVA.org:uu-308465DiVA: diva2:1049948
Conference
Lithosphere 2016
Available from: 2016-11-27 Created: 2016-11-27 Last updated: 2016-11-27

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http://www.seismo.helsinki.fi/pdf/Lito2016.pdf

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Malehmir, Alireza
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