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Data Publication

True 2D-to-3D Reconstruction of Heterogenous Porous Media via Deep Generative Adversarial Networks (GANs)

Vogel, Hannah | Amiri, Hamed

YoDa Data Repository, Utrecht University, Netherlands

(2024)

[The latest version of this dataset is accessible via the following DOI: https://doi.org/10.24416/UU01-AFP38O] We imaged samples of Berea sandstone from Ohio (USA) using two 2D imaging techniques: backscattered electron (BSE) and optical microscopy, and 3D X-ray (micro-)computed tomography (XCT). The goal is to employ a deep-learning-based generative model called a generative adversarial network (GAN) to reconstruct statistically equivalent microstructures in 3D from exclusively 2D training images. To evaluate the reconstruction accuracy, we conduct a visual and statistical analysis comparing reconstructions with a 3D X-ray tomography of the same sample. Unlike previous research, our method uses true 2D images from three orthogonally oriented planes for training the model. The data are organized into 10 folders: three contain the original segmented (binary) images of Berea sandstone samples, and the other 7 folders contain data and individual figures used to create figures in the main publication. Link to GitHub containing codes: https://github.com/hamediut/2D-to3D-recon

Keywords


Originally assigned keywords
Analytical and microscopy data
backscattered electron microscopy
scanning electron microscopy
optical microscopy
Xray tomography
MicroCT
image reconstruction
statisticallyequivalent microstructures
2Dto3D reconstruction
deep learning DL
microstructural quantification
generative adversarial network GAN
artificial intelligence AI
Berea sandstone
porous media
Link to GitHub containing codes httpsgithubcomhamediut2Dto3Drecon
sandstone
Scanning Electrone Microscope
Optical Microscope
Permeability

Corresponding MSL vocabulary keywords
backscatter electron (BSE) imaging
optical microscopy
X-ray tomography
computed tomography (CT)
Berea sandstone
sandstone
scanning electron microscope (SEM)
permeability

MSL enriched keywords
Technique
imaging (2D)
backscatter electron (BSE) imaging
Apparatus
optical microscopy
X-ray tomography
imaging (3D)
computed tomography (CT)
sedimentary rock
sandstone
wacke
Berea sandstone
electron microscopy
scanning electron microscope (SEM)
Measured property
permeability

MSL original sub domains

microscopy and tomography

MSL enriched sub domains i

microscopy and tomography
rock and melt physics


Source publisher

YoDa Data Repository, Utrecht University, Netherlands


DOI

10.24416/UU01-DO6LT4


Authors

Vogel, Hannah

0009-0004-5393-0866

Utrecht University;

Amiri, Hamed

0000-0002-2981-1398

Utrecht University;


Contributers

Vogel, Hannah

Researcher

0009-0004-5393-0866

Utrecht University;

Amiri, Hamed

Researcher

0000-0002-2981-1398

Utrecht University;

Plümper, Oliver

Supervisor

0000-0001-9726-0885

Utrecht University;


References

IsSupplementTo

Vogel, H., &amp; Amiri, H. (2024). <i>New 2D-to-3D Reconstruction of Heterogenous Porous Media via Deep Generative Adversarial Networks (GANs)</i> (Version 1.1) [Data set]. Utrecht University. https://doi.org/10.24416/UU01-AFP38O

10.24416/UU01-AFP38O

IsVersionOf


Citiation

Vogel, H., & Amiri, H. (2024). True 2D-to-3D Reconstruction of Heterogenous Porous Media via Deep Generative Adversarial Networks (GANs) (Version 1.0) [Data set]. Utrecht University. https://doi.org/10.24416/UU01-DO6LT4


Collection Period

2022-03-01 - 2024-02-09