Generative adversarial networks for reconstruction of three-dimensional porous media from two-dimensional slices

In many branches of earth sciences, the problem of rock study on the microlevel arises. However, a significant number of representative samples is not always feasible. Thus the problem of the generation of samples with similar properties becomes actual. In this paper we propose a deep learning archi...

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Veröffentlicht in:	Physical review. E 2022-02, Vol.105 (2-2), p.025304-025304, Article 025304
Hauptverfasser:	Volkhonskiy, Denis, Muravleva, Ekaterina, Sudakov, Oleg, Orlov, Denis, Burnaev, Evgeny, Koroteev, Dmitry, Belozerov, Boris, Krutko, Vladislav
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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