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Application of supervised machine learning for predicting and classifying the lithology type of reservoir rock: the case study of Iraq

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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:102853
institution FRELIP
journal_source_facet Journal of Petroleum Exploration and Production Technology
last_indexed 2026-07-15T03:34:39.929Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Application of supervised machine learning for predicting and classifying the lithology type of reservoir rock: the case study of Iraq
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 Application of supervised machine learning for predicting and classifying the lithology type of reservoir rock: the case study of Iraq
title_alt Aplicación de aprendizaje automático supervisado para predecir y clasificar el tipo de litología de roca reservorio: el caso de estudio de Irak
Application de l'apprentissage automatique supervisé pour prédire et classer le type de lithologie de la roche réservoir : le cas de l'Irak
Aplicação de aprendizado de máquina supervisionado para prever e classificar o tipo de litologia de rocha reservatório: estudo de caso do Iraque
title_auth Application of supervised machine learning for predicting and classifying the lithology type of reservoir rock: the case study of Iraq
title_es_txt Aplicación de aprendizaje automático supervisado para predecir y clasificar el tipo de litología de roca reservorio: el caso de estudio de Irak
title_fr_txt Application de l'apprentissage automatique supervisé pour prédire et classer le type de lithologie de la roche réservoir : le cas de l'Irak
title_full Application of supervised machine learning for predicting and classifying the lithology type of reservoir rock: the case study of Iraq
title_fullStr Application of supervised machine learning for predicting and classifying the lithology type of reservoir rock: the case study of Iraq
title_full_unstemmed Application of supervised machine learning for predicting and classifying the lithology type of reservoir rock: the case study of Iraq
title_pt_txt Aplicação de aprendizado de máquina supervisionado para prever e classificar o tipo de litologia de rocha reservatório: estudo de caso do Iraque
title_short Application of supervised machine learning for predicting and classifying the lithology type of reservoir rock: the case study of Iraq
title_sort application of supervised machine learning for predicting and classifying the lithology type of reservoir rock: the case study of iraq
topic Petroleum, Oil and Gas
General
Petroleum, Oil and Gas
url https://link.springer.com/article/10.1007/s13202-026-02182-0