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
Other Authors: Institute of Seismology, Department of Geosciences and Geography
Format: Article in Journal/Newspaper
Language:English
Published: MDPI 2019
Subjects:
Online Access:http://hdl.handle.net/10138/305260
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spelling ftunivhelsihelda:oai:helda.helsinki.fi:10138/305260 2024-01-07T09:45:27+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 Institute of Seismology Department of Geosciences and Geography 2019-09-06T10:38:01Z 16 application/pdf http://hdl.handle.net/10138/305260 eng eng MDPI 10.3390/min9090529 Junno , N , Koivisto , E , Kukkonen , I , Malehmir , A & Montonen , M 2019 , ' 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 ' , Minerals , vol. 9 , no. 9 , 529 . https://doi.org/10.3390/min9090529 ORCID: /0000-0002-1485-6307/work/61349498 ORCID: /0000-0002-6802-5699/work/61349499 74260b3c-7b08-49a3-9afe-676c7745a712 http://hdl.handle.net/10138/305260 000488032600017 cc_by openAccess info:eu-repo/semantics/openAccess 1171 Geosciences self-organizing map missing data geophysical borehole data seismic interpretation ROCK Article publishedVersion 2019 ftunivhelsihelda 2023-12-14T00:08:04Z 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. Peer reviewed Article in Journal/Newspaper Northern Finland HELDA – University of Helsinki Open Repository Minerals 9 9 529
institution Open Polar
collection HELDA – University of Helsinki Open Repository
op_collection_id ftunivhelsihelda
language English
topic 1171 Geosciences
self-organizing map
missing data
geophysical borehole data
seismic interpretation
ROCK
spellingShingle 1171 Geosciences
self-organizing map
missing data
geophysical borehole data
seismic interpretation
ROCK
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 1171 Geosciences
self-organizing map
missing data
geophysical borehole data
seismic interpretation
ROCK
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. Peer reviewed
author2 Institute of Seismology
Department of Geosciences and Geography
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 MDPI
publishDate 2019
url http://hdl.handle.net/10138/305260
genre Northern Finland
genre_facet Northern Finland
op_relation 10.3390/min9090529
Junno , N , Koivisto , E , Kukkonen , I , Malehmir , A & Montonen , M 2019 , ' 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 ' , Minerals , vol. 9 , no. 9 , 529 . https://doi.org/10.3390/min9090529
ORCID: /0000-0002-1485-6307/work/61349498
ORCID: /0000-0002-6802-5699/work/61349499
74260b3c-7b08-49a3-9afe-676c7745a712
http://hdl.handle.net/10138/305260
000488032600017
op_rights cc_by
openAccess
info:eu-repo/semantics/openAccess
container_title Minerals
container_volume 9
container_issue 9
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