Super-resolution reconstruction of 3D digital rocks by deep neural networks

Author:

You Shaohua,Liao QinzhuoORCID,Yan Zhengting,Li Gensheng,Tian Shouceng,Song Xianzhi,Wang Haizhu,Xue LiangORCID,Lei Gang,Liu Xu,Patil Shirish

Funder

Science Foundation of China University of Petroleum Beijing

China University of Petroleum, Beijing

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference39 articles.

1. Digital rock physics benchmarks—Part I: imaging and segmentation;Andrä;Comput. Geosci.,2013

2. Comparing organic-hosted and intergranular pore networks: topography and topology in grains, gaps and bubbles;Andrew;Geol. Soc., Lond., Spec. Publ.,2020

3. Super resolution for digital rock core images via FSRCNN;Bai,2020

4. Reconstructing high fidelity digital rock images using deep convolutional neural networks;Bizhani;Sci. Rep.,2022

5. Flow in porous media—pore-network models and multiphase flow;Blunt;Curr. Opin. Colloid Interface Sci.,2001

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