3D Tight Sandstone Digital Rock Reconstruction with Deep Learning

Published: 04-02-2021| Version 1 | DOI: 10.17632/ksdj6j9c2g.1
Contributor:
Fuyong Wang

Description

A new method of reconstructing 3D tight sandstone digital rock with deep learning is proposed, and 3D convolution is used in the generator and the discriminator of deep convolutional generative adversative network (DCGAN), which can reconstruct 3D digital rock from one dimensional noise data.

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