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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 Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:23058
institution FRELIP
journal_source_facet Journal of Petroleum Exploration and Production Technology
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
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
sub_discipline_display Technology & Engineering — Aerospace & Applied Tech
sub_discipline_facet Technology & Engineering — Aerospace & Applied Tech
subject_display Petroleum, Oil and Gas
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
Petroleum, Oil and Gas
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
subject_facet Petroleum, Oil and Gas
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
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_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_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_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
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
url https://link.springer.com/article/10.1007/s13202-026-02139-3