Predicting Missing Seismic Velocity Values Using Self-Organizing Maps to Aid the Interpretation of Seismic Reflection Data from the Kevitsa Ni-Cu-PGE Deposit in Northern Finland

We use self-organizing map (SOM) analysis to predict missing seismic velocity values from other available borehole data. The site of this study is the Kevitsa Ni-Cu-PGE deposit within the mafic-ultramafic Kevitsa intrusion in northern Finland. The site has been the target of extensive seismic reflec...

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Published in:Minerals
Main Authors: Junno, Niina, Koivisto, Emilia, Kukkonen, Ilmo, Malehmir, Alireza, Montonen, Markku
Format: Article in Journal/Newspaper
Language:English
Published: Uppsala universitet, Geofysik 2019
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-395855
https://doi.org/10.3390/min9090529
id ftuppsalauniv:oai:DiVA.org:uu-395855
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spelling ftuppsalauniv:oai:DiVA.org:uu-395855 2024-02-11T10:07:06+01:00 Predicting Missing Seismic Velocity Values Using Self-Organizing Maps to Aid the Interpretation of Seismic Reflection Data from the Kevitsa Ni-Cu-PGE Deposit in Northern Finland Junno, Niina Koivisto, Emilia Kukkonen, Ilmo Malehmir, Alireza Montonen, Markku 2019 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-395855 https://doi.org/10.3390/min9090529 eng eng Uppsala universitet, Geofysik Univ Helsinki, Dept Geosci & Geog, POB 68, FIN-00014 Helsinki, Finland Boliden FinnEx Oy, Kevitsantie 730, Petkula 99670, Finland MDPI Minerals, 2019, 9:9, orcid:0000-0002-1485-6307 orcid:0000-0003-1241-2988 http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-395855 doi:10.3390/min9090529 ISI:000488032600017 info:eu-repo/semantics/openAccess self-organizing map missing data geophysical borehole data seismic interpretation Geophysics Geofysik Article in journal info:eu-repo/semantics/article text 2019 ftuppsalauniv https://doi.org/10.3390/min9090529 2024-01-17T23:33:40Z We use self-organizing map (SOM) analysis to predict missing seismic velocity values from other available borehole data. The site of this study is the Kevitsa Ni-Cu-PGE deposit within the mafic-ultramafic Kevitsa intrusion in northern Finland. The site has been the target of extensive seismic reflection surveys, which have revealed a series of reflections beneath the Kevitsa resource area. The interpretation of these reflections has been complicated by disparate borehole data, particularly because of the scarce amount of available sonic borehole logs and the varying practices in logging of borehole lithologies. SOM is an unsupervised data mining method based on vector quantization. In this study, SOM is used to predict missing seismic velocities from other geophysical, geochemical, geological, and geotechnical data. For test boreholes, for which measured seismic velocity logs are also available, the correlation between actual measured and predicted velocities is strong to moderate, depending on the parameters included in the SOM analysis. Predicted reflectivity logs, based on measured densities and predicted velocities, show that some contacts between olivine pyroxenite/olivine websterite-dominant host rocks of the Kevitsa disseminated sulfide mineralization-and metaperidotite-earlier extensively used "lithology" label that essentially describes various degrees of alteration of different olivine pyroxenite variants-are reflective, and thus, alteration can potentially cause reflectivity within the Kevitsa intrusion. Article in Journal/Newspaper Northern Finland Uppsala University: Publications (DiVA) Minerals 9 9 529
institution Open Polar
collection Uppsala University: Publications (DiVA)
op_collection_id ftuppsalauniv
language English
topic self-organizing map
missing data
geophysical borehole data
seismic interpretation
Geophysics
Geofysik
spellingShingle self-organizing map
missing data
geophysical borehole data
seismic interpretation
Geophysics
Geofysik
Junno, Niina
Koivisto, Emilia
Kukkonen, Ilmo
Malehmir, Alireza
Montonen, Markku
Predicting Missing Seismic Velocity Values Using Self-Organizing Maps to Aid the Interpretation of Seismic Reflection Data from the Kevitsa Ni-Cu-PGE Deposit in Northern Finland
topic_facet self-organizing map
missing data
geophysical borehole data
seismic interpretation
Geophysics
Geofysik
description We use self-organizing map (SOM) analysis to predict missing seismic velocity values from other available borehole data. The site of this study is the Kevitsa Ni-Cu-PGE deposit within the mafic-ultramafic Kevitsa intrusion in northern Finland. The site has been the target of extensive seismic reflection surveys, which have revealed a series of reflections beneath the Kevitsa resource area. The interpretation of these reflections has been complicated by disparate borehole data, particularly because of the scarce amount of available sonic borehole logs and the varying practices in logging of borehole lithologies. SOM is an unsupervised data mining method based on vector quantization. In this study, SOM is used to predict missing seismic velocities from other geophysical, geochemical, geological, and geotechnical data. For test boreholes, for which measured seismic velocity logs are also available, the correlation between actual measured and predicted velocities is strong to moderate, depending on the parameters included in the SOM analysis. Predicted reflectivity logs, based on measured densities and predicted velocities, show that some contacts between olivine pyroxenite/olivine websterite-dominant host rocks of the Kevitsa disseminated sulfide mineralization-and metaperidotite-earlier extensively used "lithology" label that essentially describes various degrees of alteration of different olivine pyroxenite variants-are reflective, and thus, alteration can potentially cause reflectivity within the Kevitsa intrusion.
format Article in Journal/Newspaper
author Junno, Niina
Koivisto, Emilia
Kukkonen, Ilmo
Malehmir, Alireza
Montonen, Markku
author_facet Junno, Niina
Koivisto, Emilia
Kukkonen, Ilmo
Malehmir, Alireza
Montonen, Markku
author_sort Junno, Niina
title Predicting Missing Seismic Velocity Values Using Self-Organizing Maps to Aid the Interpretation of Seismic Reflection Data from the Kevitsa Ni-Cu-PGE Deposit in Northern Finland
title_short Predicting Missing Seismic Velocity Values Using Self-Organizing Maps to Aid the Interpretation of Seismic Reflection Data from the Kevitsa Ni-Cu-PGE Deposit in Northern Finland
title_full Predicting Missing Seismic Velocity Values Using Self-Organizing Maps to Aid the Interpretation of Seismic Reflection Data from the Kevitsa Ni-Cu-PGE Deposit in Northern Finland
title_fullStr Predicting Missing Seismic Velocity Values Using Self-Organizing Maps to Aid the Interpretation of Seismic Reflection Data from the Kevitsa Ni-Cu-PGE Deposit in Northern Finland
title_full_unstemmed Predicting Missing Seismic Velocity Values Using Self-Organizing Maps to Aid the Interpretation of Seismic Reflection Data from the Kevitsa Ni-Cu-PGE Deposit in Northern Finland
title_sort predicting missing seismic velocity values using self-organizing maps to aid the interpretation of seismic reflection data from the kevitsa ni-cu-pge deposit in northern finland
publisher Uppsala universitet, Geofysik
publishDate 2019
url http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-395855
https://doi.org/10.3390/min9090529
genre Northern Finland
genre_facet Northern Finland
op_relation Minerals, 2019, 9:9,
orcid:0000-0002-1485-6307
orcid:0000-0003-1241-2988
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-395855
doi:10.3390/min9090529
ISI:000488032600017
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.3390/min9090529
container_title Minerals
container_volume 9
container_issue 9
container_start_page 529
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