Welcome to the PerGeos Use Case Gallery
Below you will find a collection of use cases using PerGeos Software. Based on the technology of its predecessor Avizo Software, PerGeos is a robust software platform for visualizing, processing, and analyzing 2D and 3D digital rock image data.
These use cases include scientific publications, articles, papers, posters, presentations or even videos that show how PerGeos is used to address various scientific and industrial research topics.
Pore‐Scale Experimental Investigation of Two‐Phase Flow Through Fractured Porous Media
Understanding transport mechanisms that govern two-phase flow in fractured porous media has direct implications for natural and industrial processes such as extraction of hydrocarbons from fractured reservoirs, geologic sequestration of CO2, or fluid flow through aquifers.
We present the results of a systematic pore‐scale experimental investigation of two‐phase oil/brine flow through a miniature water‐wet, fractured sandstone core sample. X‐ray microtomography is employed to ge... Read more
M. Arshadi, M. Khishvand, A. Aghaei, M. Piri, G. A. Al‐Muntasheri
Major advance in well bore analysis with CT inspection
Premier, COREX has been providing core analytical services to the oil and gas industry for more than 30 years. Within the last decade it has augmented its rock core investigations by sending samples for analysis approximately every week to Nikon Metrology’s centre of excellence for micro-focus computed tomography (micro-CT) in Tring, Hertfordshire.
Drilling for oil or gas is an expensive business, whether offshore or on land, so it is essential for E&P (exploration and producti... Read more
Nikon
Dynamic strength and failure modes of sandstone under biaxial compression
Geomaterials are increasingly being subjected to the quasi-static confinements and dynamic loadings, and thus it is critical to characterise dynamic behaviour under the coupled static-dynamic loading conditions. In this study, a series of dynamic biaxial compression tests was performed on cubic specimens of sandstone by using a triaxial Hopkinson bar system, high-speed three-dimensional digital image correlation (3D-DIC) and synchrotron-based micro-computed-tomography (μCT).
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K. Liua, J. Zhaoa, G. Wua, A. Maksimenkob, A. Haquea, Q.B. Zhang
Computational elastic upscaling of sandstone on the basis of X‐ray micro‐tomographic images
Up‐scaling the elastic properties of digitized rock volumes as obtained from X‐ray computer tomography (CT) imaging via computer simulations has the potential to assist and complement laboratory measurements.
This computational up‐scaling approach remains a challenging task as the overall elastic properties are not only dependent on the elastic properties of individual grains but also on the hardly resolvable pore spaces between adjacent grains such as micro‐cracks. We develop ... Read more
Valeriya Shulakova, Marina Pervukhina, Tobias M. Müller, Maxim Lebedev, Sherry Mayo, Susanne Schmid, Pavel Golodoniuc, Osni Bastos De Paula, Michael B. Clennell, Boris Gurevich
Three-dimensional characterization of micro-fractures in shale reservoir rocks
Fractures are crucial for unconventional hydrocarbon exploitation, but it is difficult to accurately observe the 3D spatial distribution characteristics of fractures. Microtomography (micro-CT) technology makes it possible to observe the 3D structures of fractures at micro-scale. In this study, micron-CT scanning is conducted on multiple mud-shale samples of source rocks in the Permian Lucaogou Formation, Junggar Basin. The Avizo software is applied to process and segment the micron-CT images... Read more
Chao Qi, Xiaoqi Wang, Wei Wang, Jie Liu, Jincai Tuo, Keyu Liu
Accurate monitoring of multiphase displacement processes is essential for the development, validation and benchmarking of numerical models used for reservoir simulation and for asset characterization.
Here we demonstrate the first application of a chemically-selective 3D magnetic resonance imaging (MRI) technique which provides high-temporal resolution, quantitative, spatially resolved information of oil and water saturations during a dynamic imbibition core flood experiment in an Esta... Read more
N. P. Ramskill, A. J. Sederman, M. D. Mantle, M. Appel, H. de Jong, L. F. Gladden
Pore characterization of 3D-printed gypsum rocks: a comprehensive approach
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
Lingyun Kong, Mehdi Ostadhassan, Chunxiao Li, Naser Tamimi
Coke deposition during crude oil in-situ combustion (ISC) is an important phenomenon that significantly impacts the pore topology and permeability.
In this study, X-ray computed microtomography and a specific image processing procedure were used to reconstruct the micro-tomographic images of packed beds with coke deposition. From the reconstructed images, the microstructural parameters related to the transport were analyzed, such as the effective porosity, the constrictivity and the ge... Read more
Qianghui Xu, Wei Long, Hang Jiang, Bin Ma, Cheng Zan, Desheng Ma, Lin Shi
Validation of model predictions of pore-scale fluid distributions during two-phase flow
Pore-scale two-phase flow modeling is an important technology to study a rock’s relative permeability behavior. To investigate if these models are predictive, the calculated pore-scale fluid distributions which determine the relative permeability need to be validated. In this work, we introduce a methodology to quantitatively compare models to experimental fluid distributions in flow experiments visualized with microcomputed tomography.
First, we analyzed five repeated drainage-i... Read more
Tom Bultreys, Qingyang Lin, Ying Gao, Ali Q. Raeini, Ahmed AlRatrout, Branko Bijeljic, and Martin J. Blunt