New direction for regional reservoir quality prediction using machine learning - Example from the Stø Formation, SW Barents Sea, Norway

Bibliographic Details
Published in:Journal of Petroleum Science and Engineering
Main Authors: Hansen, H.N., Haile, B.G., Müller, R., Jahren, J.
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier BV 2023
Subjects:
Geotechnical Engineering and Engineering Geology
Fuel Technology
Barents Sea
Norway
Stø
Online Access:http://dx.doi.org/10.1016/j.petrol.2022.111149
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spelling crelsevierbv:10.1016/j.petrol.2022.111149 2023-10-01T03:54:57+02:00 New direction for regional reservoir quality prediction using machine learning - Example from the Stø Formation, SW Barents Sea, Norway Hansen, H.N. Haile, B.G. Müller, R. Jahren, J. 2023 http://dx.doi.org/10.1016/j.petrol.2022.111149 https://api.elsevier.com/content/article/PII:S0920410522010014?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0920410522010014?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ http://creativecommons.org/licenses/by/4.0/ Journal of Petroleum Science and Engineering volume 220, page 111149 ISSN 0920-4105 Geotechnical Engineering and Engineering Geology Fuel Technology journal-article 2023 crelsevierbv https://doi.org/10.1016/j.petrol.2022.111149 2023-09-01T04:07:00Z Article in Journal/Newspaper Barents Sea ScienceDirect (Elsevier - via Crossref) Barents Sea Norway Stø ENVELOPE(15.124,15.124,69.019,69.019) Journal of Petroleum Science and Engineering 220 111149
institution Open Polar
collection ScienceDirect (Elsevier - via Crossref)
op_collection_id crelsevierbv
language English
topic Geotechnical Engineering and Engineering Geology
Fuel Technology
spellingShingle Geotechnical Engineering and Engineering Geology
Fuel Technology
Hansen, H.N.
Haile, B.G.
Müller, R.
Jahren, J.
New direction for regional reservoir quality prediction using machine learning - Example from the Stø Formation, SW Barents Sea, Norway
topic_facet Geotechnical Engineering and Engineering Geology
Fuel Technology
format Article in Journal/Newspaper
author Hansen, H.N.
Haile, B.G.
Müller, R.
Jahren, J.
author_facet Hansen, H.N.
Haile, B.G.
Müller, R.
Jahren, J.
author_sort Hansen, H.N.
title New direction for regional reservoir quality prediction using machine learning - Example from the Stø Formation, SW Barents Sea, Norway
title_short New direction for regional reservoir quality prediction using machine learning - Example from the Stø Formation, SW Barents Sea, Norway
title_full New direction for regional reservoir quality prediction using machine learning - Example from the Stø Formation, SW Barents Sea, Norway
title_fullStr New direction for regional reservoir quality prediction using machine learning - Example from the Stø Formation, SW Barents Sea, Norway
title_full_unstemmed New direction for regional reservoir quality prediction using machine learning - Example from the Stø Formation, SW Barents Sea, Norway
title_sort new direction for regional reservoir quality prediction using machine learning - example from the stø formation, sw barents sea, norway
publisher Elsevier BV
publishDate 2023
url http://dx.doi.org/10.1016/j.petrol.2022.111149
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long_lat ENVELOPE(15.124,15.124,69.019,69.019)
geographic Barents Sea
Norway
Stø
geographic_facet Barents Sea
Norway
Stø
genre Barents Sea
genre_facet Barents Sea
op_source Journal of Petroleum Science and Engineering
volume 220, page 111149
ISSN 0920-4105
op_rights https://www.elsevier.com/tdm/userlicense/1.0/
http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1016/j.petrol.2022.111149
container_title Journal of Petroleum Science and Engineering
container_volume 220
container_start_page 111149
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