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 structure, wh...

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Detalles Bibliográficos
Autores principales: Fokin, Mikhail I., Nikitin, Viktor V., Duchkov, Anton A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2023
Materias:
Research Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481264/
https://www.ncbi.nlm.nih.gov/pubmed/37466970
http://dx.doi.org/10.1107/S1600577523005635

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481264/
https://www.ncbi.nlm.nih.gov/pubmed/37466970
http://dx.doi.org/10.1107/S1600577523005635

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