| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Sheppard, Adrian
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2019Topological Persistence for Relating Microstructure and Capillary Fluid Trapping in Sandstonescitations
- 2018Digital core laboratory
- 2015Tomographic image analysis and processing to simulate micro-petrophysical experiments
- 2014The effects of manufacturing parameters on geometrical and mechanical properties of copper foams produced by space holder techniquecitations
- 2013Effect of fluid topology on residual nonwetting phase trappingcitations
- 2010Tomographic image analysis and processing to simulate micro-petrophysical experimentscitations
- 2009Imaging of metallic foams using X-ray micro-CTcitations
- 2008Automated registration for augmenting micro-CT 3D images
- 2008Liquid distribution and cohesion in wet granular assemblies beyond the capillary bridge regimecitations
- 2008A comparison of pore structure analysis by NMR and Xray-CT techniques
- 2006Elastic and transport properties of cellular solids derived from three-dimensional tomographic imagescitations
- 2005Volume conservation of the intermediate phase in three-phase pore-network modelscitations
- 2004Polymeric foam properties derived from 3D imagescitations
Places of action
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article
Tomographic image analysis and processing to simulate micro-petrophysical experiments
Abstract
We present a description of our departments work flow that utilises X-ray micro-tomography in the observation and prediction of physical properties of porous rock. These properties include fluid flow, dissolution/deposition, fracture mapping, and mechanical processes, as well as measurement of three-dimensional (3D) morphological attributes such as pore/grain size and shape distributions, and pore/grain connectivity. To support all these areas there is a need for well integrated and parallel research programs in hardware development, structural description and physical property modelling. Since we have the ability to validate simulation with physical measurement, (and vice versa), an important part of the integration of all these techniques is calibration at every stage of the work flow. For example, we can use high-resolution scanning electron microscopy (SEM) images to verify or improve our sophisticated segmentation algorithm based on image grey-levels and gradients. The SEM can also be used to obtain sub-resolution porosity information estimated from tomographic grey-levels and texture. Comparing experimental and simulated mercury intrusion porosimetry can quantify the effective resolution of tomograms and the accuracy of segmentation. The foundation of our calibration techniques is a robust and highly optimised 3D to 3D image-based registration method. This enables us to compare the tomograms of successively disturbed (e.g., dissolved, fractured, cleaned,.) specimens with an original undisturbed state. A two-dimensional (2D) to 3D version of this algorithm allows us to register microscope images (both SEM and quantitative electron microscopy) of prepared 2D sections of each specimen. This can assist in giving a multimodal assessment of the specimen.