Enhanced oil recovery by nanoparticles flooding: From numerical modeling improvement to machine learning prediction

Enhanced oil recovery by nanoparticles flooding: From numerical modeling improvement to machine learning prediction

Nowadays, enhanced oil recovery using nanoparticles is considered an innovative approach to increase oil production. This paper focuses on predicting nanoparticles transport in porous media using machine learning techniques including random forest, gradient boosting regression, decision tree, and ar...

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Detalles Bibliográficos
Autores principales: Budoor Alwated, Mohamed F. El-Amin
Formato: article
Lenguaje:EN
Publicado: Yandy Scientific Press 2021
Materias:
enhanced oil recovery
nanoparticles
machine learning
random forest
artificial neural networks
decision tree
gradient boosting regression
Engineering geology. Rock mechanics. Soil mechanics. Underground construction
TA703-712
Geology
QE1-996.5
Acceso en línea:https://doaj.org/article/be6dd5985fb34eff82a92eb3a1389c52
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https://doaj.org/article/be6dd5985fb34eff82a92eb3a1389c52

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