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Metadata Files

Data Publication

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

Hannah Vogel | Hamed Amiri

Utrecht University

(2024)

Descriptions

[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

X-ray tomography

Micro-CT

image reconstruction

statistically-equivalent microstructures

2D-to-3D reconstruction

deep learning (DL)

microstructural quantification

generative adversarial network (GAN)

artificial intelligence (AI)

Berea sandstone

porous media

Link to GitHub containing codes: https://github.com/hamediut/2D-to3D-recon

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 enriched sub domains i

microscopy and tomography

rock and melt physics

Source

https://public.yoda.uu.nl/geo/UU01/DO6LT4.html

Source publisher

Utrecht University

DOI

10.24416/uu01-do6lt4

Creators

Hannah Vogel

Utrecht University

ORCID:

0009-0004-5393-0866

Hamed Amiri

Utrecht University

ORCID:

0000-0002-2981-1398

Contributors

Vogel, Hannah

Researcher

Utrecht University

ORCID:

0009-0004-5393-0866

Amiri, Hamed

Researcher

Utrecht University

ORCID:

0000-0002-2981-1398

Plümper, Oliver

Supervisor

Utrecht University

ORCID:

0000-0001-9726-0885

References

https://github.com/hamediut/2D-to3D-recon

https://doi.org/10.24416/UU01-AFP38O

Citation

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

Dates

Updated:

2024-07-16T10:42:11

Collected:

2022-03-01/2024-02-09

Language

Funding References

Funder name: European Research Council

Funder name: NWO

Rights

Open - freely retrievable

Creative Commons Attribution 4.0 International Public License

Datacite version

1.0