A Time Series Forecasting Approach Based on Meta-Learning for Petroleum Production under Few-Shot Sa...
A Time Series Forecasting Approach Based on Meta-Learning for Petroleum Production under Few-Shot Samples
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Scope and Contents
Contents
Accurate prediction of crude petroleum production in oil fields plays a crucial role in analyzing reservoir dynamics, formulating measures to increase production, and selecting ways to improve recovery factors. Current prediction methods mainly include reservoir engineering methods, numerical simulation methods, and deep learning methods, and the r...
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Full title
A Time Series Forecasting Approach Based on Meta-Learning for Petroleum Production under Few-Shot Samples
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TN_cdi_doaj_primary_oai_doaj_org_article_2f18f78a68114a71907945e7ceedfce6
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2f18f78a68114a71907945e7ceedfce6
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ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en17081947
