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

Fokin, Mikhail I; Nikitin, Viktor V; Duchkov, Anton A

Fokin, Mikhail I; Nikitin, Viktor V; Duchkov, Anton A.

Afiliación

Fokin MI; Institute of Petroleum Geology and Geophysics SB RAS, 630090 Novosibirsk, Russia.
Nikitin VV; Advanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA.
Duchkov AA; Institute of Petroleum Geology and Geophysics SB RAS, 630090 Novosibirsk, Russia.

J Synchrotron Radiat ; 30(Pt 5): 978-988, 2023 Sep 01.

Article en En | MEDLINE | ID: mdl-37466970

Palabras clave

X-ray micro-computed tomography; gas hydrates; hybrid machine-learning segmentation; image quantitative analysis

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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: J Synchrotron Radiat Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Rusia

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