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Designing a dilated multi-scale attention convolutional neural network to optimize rock micro computed tomography image segmentation: a path to accurate petrophysical and fluid flow characterization

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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:60115
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 Designing a dilated multi-scale attention convolutional neural network to optimize rock micro computed tomography image segmentation: a path to accurate petrophysical and fluid flow characterization
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 Designing a dilated multi-scale attention convolutional neural network to optimize rock micro computed tomography image segmentation: a path to accurate petrophysical and fluid flow characterization
title_alt Diseño de una red neuronal convolucional de atención multiescala dilatada para optimizar la segmentación de imágenes de microtomografía computarizada de rocas: un camino hacia la caracterización petrofísica y de flujo de fluidos precisa
Conception d'un réseau de neurones convolutifs à attention multi-échelle dilatée pour optimiser la segmentation d'images de microtomographie aux rayons X des roches : une voie vers une caractérisation pétrophysique et d'écoulement de fluide précise
Projetando uma rede neural convolucional de atenção multi-escala dilatada para otimizar a segmentação de imagens de microtomografia computadorizada de rocha: um caminho para caracterização petrofísica e de fluxo de fluidos precisa
title_auth Designing a dilated multi-scale attention convolutional neural network to optimize rock micro computed tomography image segmentation: a path to accurate petrophysical and fluid flow characterization
title_es_txt Diseño de una red neuronal convolucional de atención multiescala dilatada para optimizar la segmentación de imágenes de microtomografía computarizada de rocas: un camino hacia la caracterización petrofísica y de flujo de fluidos precisa
title_fr_txt Conception d'un réseau de neurones convolutifs à attention multi-échelle dilatée pour optimiser la segmentation d'images de microtomographie aux rayons X des roches : une voie vers une caractérisation pétrophysique et d'écoulement de fluide précise
title_full Designing a dilated multi-scale attention convolutional neural network to optimize rock micro computed tomography image segmentation: a path to accurate petrophysical and fluid flow characterization
title_fullStr Designing a dilated multi-scale attention convolutional neural network to optimize rock micro computed tomography image segmentation: a path to accurate petrophysical and fluid flow characterization
title_full_unstemmed Designing a dilated multi-scale attention convolutional neural network to optimize rock micro computed tomography image segmentation: a path to accurate petrophysical and fluid flow characterization
title_pt_txt Projetando uma rede neural convolucional de atenção multi-escala dilatada para otimizar a segmentação de imagens de microtomografia computadorizada de rocha: um caminho para caracterização petrofísica e de fluxo de fluidos precisa
title_short Designing a dilated multi-scale attention convolutional neural network to optimize rock micro computed tomography image segmentation: a path to accurate petrophysical and fluid flow characterization
title_sort designing a dilated multi-scale attention convolutional neural network to optimize rock micro computed tomography image segmentation: a path to accurate petrophysical and fluid flow characterization
topic Petroleum, Oil and Gas
General
Petroleum, Oil and Gas
url https://link.springer.com/article/10.1007/s13202-026-02139-3