An Object‐Based Approach to Differentiate Pores and Microfractures in Petrographic Analysis Using Ex...
An Object‐Based Approach to Differentiate Pores and Microfractures in Petrographic Analysis Using Explainable, Supervised Machine Learning
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Hoboken: John Wiley & Sons, Inc
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English
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Hoboken: John Wiley & Sons, Inc
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Petrographic observations are vital for carbonate pore‐typing, linking geological frameworks to petrophysical behavior. However, current petrographic pore typing is manual, with the qualitative to semi‐quantitative results not easily fitted into quantitative subsurface characterization. Some recent studies have automated this process using supervis...
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Full title
An Object‐Based Approach to Differentiate Pores and Microfractures in Petrographic Analysis Using Explainable, Supervised Machine Learning
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TN_cdi_doaj_primary_oai_doaj_org_article_6d2481ffb87346aab80b5e0428521fd9
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6d2481ffb87346aab80b5e0428521fd9
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ISSN
2333-5084
E-ISSN
2333-5084
DOI
10.1029/2023EA003291
