2019
DOI: 10.1016/j.marpetgeo.2019.04.039
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Continuous porosity characterization: Metric-scale intervals in heterogeneous sedimentary rocks using medical CT-scanner

Abstract: 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 a improved method using medical-CT to reliably estimate reservoir porosity.… Show more

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Cited by 18 publications
(4 citation statements)
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“…A possible improvement of this stoichiometric method could reside in increasing the exposure time or to acquire repeated scans in order to improve the signal‐to‐noise ratio (e.g., Larmagnat et al., 2019), especially when very dense minerals, reducing the number of photons reaching the detectors, are present.…”
Section: Discussionmentioning
confidence: 99%
“…A possible improvement of this stoichiometric method could reside in increasing the exposure time or to acquire repeated scans in order to improve the signal‐to‐noise ratio (e.g., Larmagnat et al., 2019), especially when very dense minerals, reducing the number of photons reaching the detectors, are present.…”
Section: Discussionmentioning
confidence: 99%
“…The X-ray tube can be operated in the range of 70-140 kVp. This platform is used for several non-medical applications, including material characterization with dual-energy techniques Fortin et al (2013); Larmagnat et al (2019); Martini et al (2021); Di Schiavi Trotta et al (2022).…”
Section: Working With Proprietary Formatmentioning
confidence: 99%
“…Furthermore, the acquisition of high-Z and high density samples with reduced artifacts is also advantageous in the field of geology, such as porosity characterization in rocks with a CT scanner [31]. The presented algorithm can potentially deal with low and highly attenuation materials, such as water and dense rocks, improving the desired characterization by removing the bias caused by beam-hardening artifacts.…”
Section: Real Samples Applicationmentioning
confidence: 99%