New Direction for Regional Reservoir Quality Prediction Using Machine Learning - Example from the Stø Formation, Sw Barents Sea, Norway

Bibliographic Details
Published in:SSRN Electronic Journal
Main Authors: Hansen, Henrik Nygaard, Haile, Beyene Girma, Muller, Reidar, Jahren, Jens
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier BV 2022
Subjects:
Barents Sea
Norway
Stø
Online Access:http://dx.doi.org/10.2139/ssrn.4170641
id crelsevierbv:10.2139/ssrn.4170641
record_format openpolar
spelling crelsevierbv:10.2139/ssrn.4170641 2023-05-15T15:38:14+02:00 New Direction for Regional Reservoir Quality Prediction Using Machine Learning - Example from the Stø Formation, Sw Barents Sea, Norway Hansen, Henrik Nygaard Haile, Beyene Girma Muller, Reidar Jahren, Jens 2022 http://dx.doi.org/10.2139/ssrn.4170641 en eng Elsevier BV SSRN Electronic Journal ISSN 1556-5068 journal-article 2022 crelsevierbv https://doi.org/10.2139/ssrn.4170641 2022-12-01T12:04:16Z Article in Journal/Newspaper Barents Sea ScienceDirect (Elsevier - via Crossref) Barents Sea Norway Stø ENVELOPE(15.124,15.124,69.019,69.019) SSRN Electronic Journal
institution Open Polar
collection ScienceDirect (Elsevier - via Crossref)
op_collection_id crelsevierbv
language English
format Article in Journal/Newspaper
author Hansen, Henrik Nygaard
Haile, Beyene Girma
Muller, Reidar
Jahren, Jens
spellingShingle Hansen, Henrik Nygaard
Haile, Beyene Girma
Muller, Reidar
Jahren, Jens
New Direction for Regional Reservoir Quality Prediction Using Machine Learning - Example from the Stø Formation, Sw Barents Sea, Norway
author_facet Hansen, Henrik Nygaard
Haile, Beyene Girma
Muller, Reidar
Jahren, Jens
author_sort Hansen, Henrik Nygaard
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 2022
url http://dx.doi.org/10.2139/ssrn.4170641
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 SSRN Electronic Journal
ISSN 1556-5068
op_doi https://doi.org/10.2139/ssrn.4170641
container_title SSRN Electronic Journal
_version_ 1766368994954051584

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