Welcome to the PerGeos Use Case Gallery

• Virtual petrography, 3D textures and quantitative analysis of spiral garnets.
• Micro-fold axis determination in spiral garnets using X-ray computed tomography.
• 3D spiral patterns unlock the tectonic history of the Karakoram Himalaya.

Spiral garnet porphyroblasts are known to record lengthy periods of deformation and metamorphism by preserving single or multiple FIAs (Foliation Intersection Axis) formed normal to tectonic shortening directions. Thanks to te... Read more

Relative permeability and capillary pressure are key properties within special core analysis and provide crucial information for full field simulation models. These properties are traditionally obtained by multi-phase flow experiments, however pore scale modelling has during the last decade shown to add significant information as well as being less time-consuming to obtain. Pore scale modelling has been performed by using the lattice-Boltzmann method directly on the digital rock models obtain... Read more

With advancements in additive manufacturing, now 3D-printed core plugs can be duplicated in order to replace natural rock samples. This can help us to control their parameters to be used in different types of experiments for model verifications.

However, prior to such substitutions, we should ensure they can represent natural rock samples through characterizing their physical properties. In this paper, synthetic samples made up of gypsum powder are 3D-printed and then characterized for... Read more

X-ray micro-CT imaging is becoming an integral part of rock characterization processes. Large data size, user bias, and accuracy of the results are some of the challenges associated with analyzing micro-CT images of rock samples.

In this article, the PerGeos Digital Rock Analysis software is demonstrated to analyze the full micro-CT dataset of a Berea sandstone mini plug. The analysis is done in blocks using a PerGeos recipe (i.e. a macro) and a block-processing script. The results are... Read more

We introduce here some techniques to visualize and process large data, mostly targeting the high resolution data acquired by Heliscan microCT.

The data is considered as “large” in the sense that its size exceeds the size of the GPU memory and/or the size of the RAM of the machine.

The following workflow:

• Segmentation
• Porosity / Connected porosity determination
• Pore separation / Pore Size distribution
• Grain size distribution

Imagery produced from FIBSEMs (Dualbeams) provides users with unique data in terms of resolution and sample size that are not available with other techniques. Despite the power of this analytical approach, some limitations in quantifying the textural data restrict the accuracy of data obtained from FIBSEM images.

These limitations are derived from artifacts that occur during the acquisition of the data. Collecting data using a FIBSEM is a destructive, serial sectioning technique. A thi... Read more

Imagery produced from FIBSEMs (Dualbeams) provides users with unique data in terms of resolution and sample size that are not available with other techniques. Despite the power of this analytical approach, some limitations in quantifying the textural data restrict the accuracy of data obtained from FIBSEM images.

Segmentation typically consists of a complex workflow involving multiple algorithms at multiple steps. Smart denoising and morphological filters are often included in the segm... Read more