GeoSlicer is a software platform for digital rock visualization and image processing. It's designed for geoscientists, engineers, and researchers to analyze and visualize 2D and 3D data from various imaging modalities, including thin sections, CT scans, and mCT imagery.
With GeoSlicer, you can perform complex analyses, such as:
- Image filtering and segmentation
- Pore network extraction and analysis
- Petrophysical property calculations
- 3D visualization and animation
GeoSlicer is built on top of 3D Slicer medical imaging platform and can be extended with custom modules to meet your specific needs.
This section will guide you through the process of installing and running GeoSlicer on your local machine.
For instructions on how to build GeoSlicer from source, please refer to the build guide.
To get started with GeoSlicer, follow these simple steps:
-
Download the latest release:
Visit the releases page and download the appropriate version of GeoSlicer for your operating system.
-
Extract the archive:
Unpack the downloaded
.zipor.tar.gzfile to a location of your choice.
Note: GeoSlicer is a portable application, so there's no need to run an installer. However, you must have write permissions on the folder where you extract the application, as it needs to write data to the LTrace subfolder.
Once you have extracted the archive, you can run GeoSlicer by executing the GeoSlicer executable located in the extracted directory.
- Multi-modal image support: Work with a wide range of image types, including thin sections, CT scans, and mCT imagery.
- Advanced image processing: Apply a variety of filters and algorithms to enhance and analyze your images.
- Pore network analysis: Extract and analyze pore networks to understand the properties of your rock samples.
- Petrophysical calculations: Calculate important petrophysical properties, such as porosity and permeability.
- 3D visualization: Visualize your data in 3D and create stunning animations.
- Extensible platform: Create your own custom modules to extend the functionality of GeoSlicer.
You can find examples and tutorials on LTrace's YouTube channel.
We welcome contributions from the community! If you'd like to contribute to GeoSlicer, please read our contributing guidelines to get started.
Join our community to ask questions, share your work, and connect with other GeoSlicer users.
- GitHub Issues: Report bugs and request features
GeoSlicer is licensed under the Apache 2.0 License. See the LICENSE file for more details.
If you use GeoSlicer in your research, please cite the following publications:
- Carneiro, I., Zanellato, D., Figueiredo, L., & Bordignon, F. (2023). Comparison of geostatistical and machine learning methods for reconstructing 3D images of carbonate rocks. 6th Brazil Interpore Chapter Conference on Porous Media.
- Carneiro, I., Sapucaia, V., Bordignon, F., Figueiredo, L., Honório, B., & Matias, J. (2024). Application of MPS to Image Log and CoreCT Images Inpainting. 85th EAGE Annual Conference & Exhibition, (1), 1-5.
- Carneiro, I., Souza, J., Zanellato, D., Mei, M., Sapucaia, V., Figueiredo, L., Bordignon, F., Matias, J., Honório, Bruno César Zanardo, & Surmas, R. (2024). Multiscale analysis of carbonate rocks for the digital rocks platform GeoSlicer, an open source plugin. ROG.e 2024, (2975).
- Arenhart, R., Bordignon, F., Figueiredo, L., Pereira, M., Formighieri, G., Pacheco, R., Cenci R., & Surmas, R. (2025). Geoslicer open source platform for digital rock image analysis. 5th International Rock Imaging Summit, (276)
- Arenhart, R., Bordignon, F., Figueiredo, L., Pereira, M., Formighieri, G., Pacheco, R., Cenci R., Melo, R., & Surmas, R. (2025). A Multiscale Approach to Pore-Network Two-Phase Flow Simulation Applied to a Carbonate Reservoir. 17th Annual Meeting Interpore, (7844)