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Prediction of rate of penetration in oil and gas drilling: a comparative review of machine learning methods and future research directions

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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:103950
institution FRELIP
journal_source_facet Journal of Petroleum Exploration and Production Technology
last_indexed 2026-07-18T03:34:08.999Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Prediction of rate of penetration in oil and gas drilling: a comparative review of machine learning methods and future research directions
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 Prediction of rate of penetration in oil and gas drilling: a comparative review of machine learning methods and future research directions
title_alt Predicción de la tasa de penetración en perforación de petróleo y gas: una revisión comparativa de métodos de aprendizaje automático y direcciones futuras de investigación
Prédiction du taux de pénétration dans le forage pétrolier et gazier : une revue comparative des méthodes d'apprentissage automatique et des orientations futures de la recherche
Predição da taxa de penetração em perfuração de petróleo e gás: uma revisão comparativa de métodos de aprendizado de máquina e direções futuras de pesquisa
title_auth Prediction of rate of penetration in oil and gas drilling: a comparative review of machine learning methods and future research directions
title_es_txt Predicción de la tasa de penetración en perforación de petróleo y gas: una revisión comparativa de métodos de aprendizaje automático y direcciones futuras de investigación
title_fr_txt Prédiction du taux de pénétration dans le forage pétrolier et gazier : une revue comparative des méthodes d'apprentissage automatique et des orientations futures de la recherche
title_full Prediction of rate of penetration in oil and gas drilling: a comparative review of machine learning methods and future research directions
title_fullStr Prediction of rate of penetration in oil and gas drilling: a comparative review of machine learning methods and future research directions
title_full_unstemmed Prediction of rate of penetration in oil and gas drilling: a comparative review of machine learning methods and future research directions
title_pt_txt Predição da taxa de penetração em perfuração de petróleo e gás: uma revisão comparativa de métodos de aprendizado de máquina e direções futuras de pesquisa
title_short Prediction of rate of penetration in oil and gas drilling: a comparative review of machine learning methods and future research directions
title_sort prediction of rate of penetration in oil and gas drilling: a comparative review of machine learning methods and future research directions
topic Petroleum, Oil and Gas
General
Petroleum, Oil and Gas
url https://link.springer.com/article/10.1007/s13202-026-02189-7