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Machine learning–based PSO optimization of SiO₂-TOMAC nanocomposites for efficient crude oil demulsification

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Bibliographic Details
Published in:Journal of Petroleum Exploration and Production Technology
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Petroleum Exploration and Production Technology
description
discipline_display Petroleum, Oil and Gas
discipline_facet Petroleum, Oil and Gas
format Online Article
RSS Article
genre Journal Article
id rss_article:60114
institution FRELIP
journal_source_facet Journal of Petroleum Exploration and Production Technology
last_indexed 2026-06-20T21:24:25.862Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Machine learning–based PSO optimization of SiO₂-TOMAC nanocomposites for efficient crude oil demulsification
Petroleum, Oil and Gas
General
Petroleum, Oil and Gas
sub_discipline_display General
sub_discipline_facet General
subject_display Petroleum, Oil and Gas
General
Petroleum, Oil and Gas
subject_facet Petroleum, Oil and Gas
General
Petroleum, Oil and Gas
title Machine learning–based PSO optimization of SiO₂-TOMAC nanocomposites for efficient crude oil demulsification
title_alt Optimización basada en aprendizaje automático y PSO de nanocompuestos de SiO₂-TOMAC para la desemulsificación eficiente de petróleo crudo
Optimisation par PSO basée sur l'apprentissage automatique de nanocomposites SiO₂-TOMAC pour une démulsification efficace du pétrole brut
Otimização baseada em aprendizado de máquina–PSO de nanocompósitos de SiO₂-TOMAC para desemulsificação eficiente de petróleo bruto
title_auth Machine learning–based PSO optimization of SiO₂-TOMAC nanocomposites for efficient crude oil demulsification
title_es_txt Optimización basada en aprendizaje automático y PSO de nanocompuestos de SiO₂-TOMAC para la desemulsificación eficiente de petróleo crudo
title_fr_txt Optimisation par PSO basée sur l'apprentissage automatique de nanocomposites SiO₂-TOMAC pour une démulsification efficace du pétrole brut
title_full Machine learning–based PSO optimization of SiO₂-TOMAC nanocomposites for efficient crude oil demulsification
title_fullStr Machine learning–based PSO optimization of SiO₂-TOMAC nanocomposites for efficient crude oil demulsification
title_full_unstemmed Machine learning–based PSO optimization of SiO₂-TOMAC nanocomposites for efficient crude oil demulsification
title_pt_txt Otimização baseada em aprendizado de máquina–PSO de nanocompósitos de SiO₂-TOMAC para desemulsificação eficiente de petróleo bruto
title_short Machine learning–based PSO optimization of SiO₂-TOMAC nanocomposites for efficient crude oil demulsification
title_sort machine learning–based pso optimization of sio₂-tomac nanocomposites for efficient crude oil demulsification
topic Petroleum, Oil and Gas
General
Petroleum, Oil and Gas
url https://link.springer.com/article/10.1007/s13202-026-02145-5