Resolution enhancement and deblurring of porous media μ-CT images based on super resolution generative adversarial network-Reference-Cited by-同舟云学术

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Resolution enhancement and deblurring of porous media μ-CT images based on super resolution generative adversarial network

Published:2024-05 Issue: Volume:236 Page:212753
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Cai Zhili^ORCID,Yang Yaoming,Meng Jin,Qiu Shuxia,Lei Liang,Xu Peng^ORCID

Funder

National Natural Science Foundation of China

Zhejiang Province Natural Science Foundation

Publisher

Elsevier BV

Reference47 articles.

1. Siamese-SR: a Siamese Super-Resolution model for boosting resolution of Digital Rock images for improved petrophysical property estimation;Ahuja;IEEE Trans. Image Process.,2022

2. Computed tomography in petroleum engineering research;Akin;Geological Society, London, Special Publications,2003

3. Digital rock physics: using CT scans to compute rock properties;Al-Marzouqi;IEEE Signal Process. Mag.,2018

4. Machine learning for predicting properties of porous media from 2d X-ray images;Alqahtani;J. Petrol. Sci. Eng.,2020

5. Super-resolved segmentation of X-ray images of carbonate rocks using deep learning;Alqahtani;Transport Porous Media,2022

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1. Research on the Migration and Adsorption Mechanism Applied to Microplastics in Porous Media: A Review;Nanomaterials;2024-06-20

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