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Influence of Standard Image Processing of 3D X-ray Microscopy on Morphology, Topology and Effective Properties

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  • Romain Guibert

    (Institut de Mécanique des Fluides de Toulouse (IMFT), Université de Toulouse, CNRS-INPT-UPS, 31400 Toulouse, France)

  • Marfa Nazarova

    (Université de Pau et des Pays de l’Adour, E2S UPPA, CNRS, TotalEnergies, LFCR, 64000 Pau, France)

  • Marco Voltolini

    (Earth and Environmental Sciences Area, Energy Geoscience Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
    Sezione di Mineralogia, Dipartimento di Scienze della Terra “Ardito Desio”, Università degli Studi di Milano Statale, Via Botticelli 23, 20133 Milano, Italy)

  • Thibaud Beretta

    (Université de Pau et des Pays de l’Adour, E2S UPPA, CNRS, TotalEnergies, LFCR, 64000 Pau, France)

  • Gerald Debenest

    (Institut de Mécanique des Fluides de Toulouse (IMFT), Université de Toulouse, CNRS-INPT-UPS, 31400 Toulouse, France)

  • Patrice Creux

    (Université de Pau et des Pays de l’Adour, E2S UPPA, CNRS, TotalEnergies, LFCR, 64000 Pau, France)

Abstract

Estimating porous media properties is a vital component of geosciences and the physics of porous media. Until now, imaging techniques have focused on methodologies to match image-derived flows or geomechanical parameters with experimentally identified values. Less emphasis has been placed on the compromise between image processing techniques and the consequences on topological and morphological characteristics and on computed properties such as permeability. The effects of some of the most popular image processing techniques (filtering and segmentation) available in open source on 3D X-ray Microscopy (micro-XRM) images are qualitatively and quantitatively discussed. We observe the impacts of various filters such as erosion-dilation and compare the efficiency of Otsu’s method of thresholding and the machine-learning-based software Ilastik for segmentation.

Suggested Citation

  • Romain Guibert & Marfa Nazarova & Marco Voltolini & Thibaud Beretta & Gerald Debenest & Patrice Creux, 2022. "Influence of Standard Image Processing of 3D X-ray Microscopy on Morphology, Topology and Effective Properties," Energies, MDPI, vol. 15(20), pages 1-14, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7796-:d:949337
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    References listed on IDEAS

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    1. Sheppard, Adrian P. & Sok, Robert M. & Averdunk, Holger, 2004. "Techniques for image enhancement and segmentation of tomographic images of porous materials," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 339(1), pages 145-151.
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