Larmagnat, Stéphanie; Des Roches, Mathieu; Daigle, Louis-Frédéric; Francus, Pierre ORCID: https://orcid.org/0000-0001-5465-1966; Lavoie, Denis; Raymond, Jasmin ORCID: https://orcid.org/0000-0002-7486-9185; Malo, Michel et Aubiès-Trouilh, Alexandre (2019). Continuous porosity characterization: Metric-scale intervals in heterogeneous sedimentary rocks using medical CT-scanner. Marine and Petroleum Geology , vol. 109 . pp. 361-380. DOI: 10.1016/j.marpetgeo.2019.04.039.
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Résumé
Although computed tomography (CT-Scanning) has been regularly applied to core analyses in petroleum geology, there is still a need to improve our ways to document porosity and porosity distribution in the entire pore scale spectrum, from the tens of nanometer to the meter-scale. Porosity imaging is particularly crucial for complex and heterogeneous rocks such as hydrothermally altered and fractured carbonates. The present work proposes an improved method using medical-CT to reliably estimate reservoir porosity. An in-house core-flooding setup allowed to analyse several individual core samples, scanned simultaneously (dry and saturated), as well as continuous core sections up to 1.5 m long. Without any prior knowledge of samples, three-dimensional alignment and subtraction of the two data sets (dry and saturated states) results in the generation of 3D porosity matrices. The methodology tested on a large set of reference core material shows a strong correlation between conventional gas porosimetry techniques and porosity from CT-scan. The added value of the porosity measurements by CT-scan is, first of all, the generation of 3D images of pore network, allowing to assess spatial attributes of macropores, their distribution and connectivity. Secondly, the CT-scan method also provides continuous porosity profile at the millimetric scale. Both developments are crucial for the understanding of reservoir rock properties.
Type de document: | Article |
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Mots-clés libres: | 3D porosity; carbonate; core-flooding; CT scan |
Centre: | Centre Eau Terre Environnement |
Date de dépôt: | 28 nov. 2019 19:50 |
Dernière modification: | 15 févr. 2022 21:31 |
URI: | https://espace.inrs.ca/id/eprint/9567 |
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