A hybrid machine-learning approach for analysis of methane hydrate formation dynamics in porous media with synchrotron CT imaging

A hybrid machine-learning approach for analysis of methane hydrate formation dynamics in porous media with synchrotron CT imaging

Fast multi-phase processes in methane hydrate bearing samples pose a challenge for quantitative micro-computed tomography study and experiment steering due to complex tomographic data analysis involving time-consuming segmentation procedures. This is because of the sample's multi-scale structur...

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Bibliographic Details
Main Authors: Mikhail I. Fokin, Viktor V. Nikitin, Anton A. Duchkov
Format: Article
Language:English
Published: International Union of Crystallography 2023-09-01
Series:Journal of Synchrotron Radiation
Subjects:
hybrid machine-learning segmentation
x-ray micro-computed tomography
image quantitative analysis
gas hydrates
Online Access:http://scripts.iucr.org/cgi-bin/paper?S1600577523005635

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http://scripts.iucr.org/cgi-bin/paper?S1600577523005635

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