The study of the physical properties of porous media is crucial for
petrophysics laboratories. Even though micro computed tomography
(CT) could be useful, the appropriate evaluation of flow properties
would involve the acquisition of a large number of representative
images. That is often unfeasible.

Stochastic reconstruction methods aim to generate novel, realistic
rock images from a small sample, thus avoiding a large acquisition
process. In this contribution, we improve a previous method for
3D-to-3D reconstruction of the structure of porous media by applying
generative adversarial neural networks (GANs). We compare several
measures of pore morphology between simulated and acquired
images. Experiments include Beadpack, Berea sandstone, and Ketton
limestone images. Results show that our GANs-based method can
reconstruct three-dimensional images of porous media at different
scales that are representative of the morphology of the original
images. Furthermore, the generation of multiple images is much
faster than classical image reconstruction methods.

Stochastic 3D rock reconstruction using GANs

**Session Chair**: prof. Federico Becattini

PS T1.2: Solutions of Machine and Deep Learning 2

poster

ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 
For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review. 

In this edition of the **ICPR 2020** Conference, there are 1407 Oral/Poster presentations organized in five Tracks: 
- Artificial Intelligence, Machine Learning for Pattern Analysis; 
- Biometrics, Human Analysis and Behavior Understanding; Computer Vision, Robotics and Intelligent Systems; 
- Document and Media Analysis; and 
- Image and Signal Processing. 

The **ICPR 2020** Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR 2020 program. 


Andrea Valsecchi

1

SHORT BIO

Presentations

Stochastic 3D rock reconstruction using GANs

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES