Articles | Volume 7, issue 2
https://doi.org/10.5194/se-7-441-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/se-7-441-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 Mar 2016
Research article |
| 24 Mar 2016
Calculating structural and geometrical parameters by laboratory measurements and X-ray microtomography: a comparative study applied to a limestone sample before and after a dissolution experiment
Institute of Environmental Assessment and Water Research (IDAEA),
Hydrogeology Group (UPC-CSIC), c/ Jordi Girona 18, 08034 Barcelona, Spain
Vanessa Hebert
Voxaya SAS, Cap Omega, Rond-Point Benjamin Franklin, CS 39521,
34960 Montpellier, France
Olivier Rodriguez
Voxaya SAS, Cap Omega, Rond-Point Benjamin Franklin, CS 39521,
34960 Montpellier, France
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Cited
15 citations as recorded by crossref.
- Importance of Microstructure in Carbonate Rocks: Laboratory and 3D-Imaging Petrophysical Characterization M. Leger & L. Luquot 10.3390/app11093784
- Application of optical image analysis to the assessment of pore space evolution after CO2 injection in sandstones. A case study E. Berrezueta & T. Kovacs 10.1016/j.petrol.2017.08.039
- Chemically Induced Evolution of Morphological and Connectivity Characteristics of Pore Space of Complex Carbonate Rock via Digital Core Analysis J. Qajar & C. Arns 10.1029/2021WR031298
- An automatic segmentation algorithm for retrieving sub-resolution porosity from X-ray tomography images P. Smal et al. 10.1016/j.petrol.2018.02.062
- Ternary segmentation and estimation of permeability for porous rocks based on 3D X-ray computed tomographic images by hidden Markov random field and Brinkman-force lattice Boltzmann model E. Yang et al. 10.1016/j.jhydrol.2021.126377
- A comparative study of micro-CT and mercury intrusion techniques for predicting permeability and surface area evolution during chemical dissolution J. Qajar & C. Arns 10.1016/j.advwatres.2022.104301
- The influence of pore geometry and orientation on the strength and stiffness of porous rock L. Griffiths et al. 10.1016/j.jsg.2017.02.006
- Pore-scale tomography and imaging: applications, techniques and recommended practice M. Halisch et al. 10.5194/se-7-1141-2016
- Elastic Anisotropy and Internal Structure of Rocks from the Uranium Ore Occurrences of the Litsa Ore Area (Kola Region, Russia) V. Il’chenko & M. Gannibal 10.3390/geosciences9070284
- Digital core repository coupled with machine learning as a tool to classify and assess petrophysical rock properties V. Hébert et al. 10.1051/e3sconf/202014601003
- Quantifying Rock Weakening Due to Decreasing Calcite Mineral Content by Numerical Simulations M. Wetzel et al. 10.3390/ma11040542
- Characterization of reactive flow-induced evolution of carbonate rocks using digital core analysis - part 2: Calculation of the evolution of percolation and transport properties J. Qajar & C. Arns 10.1016/j.jconhyd.2017.08.002
- Semi-automated procedure of digitalization and study of rock thin section porosity applying optical image analysis tools E. Berrezueta et al. 10.1016/j.cageo.2018.12.009
- Hysteresis in permeability evolution simulated for a sandstone by mineral precipitation and dissolution M. Wetzel et al. 10.5194/adgeo-58-1-2022
- X-ray CT-based interpretation of microbial-induced carbonate precipitation and local hydraulic behaviors E. Yang et al. 10.1016/j.enggeo.2024.107426
15 citations as recorded by crossref.
- Importance of Microstructure in Carbonate Rocks: Laboratory and 3D-Imaging Petrophysical Characterization M. Leger & L. Luquot 10.3390/app11093784
- Application of optical image analysis to the assessment of pore space evolution after CO2 injection in sandstones. A case study E. Berrezueta & T. Kovacs 10.1016/j.petrol.2017.08.039
- Chemically Induced Evolution of Morphological and Connectivity Characteristics of Pore Space of Complex Carbonate Rock via Digital Core Analysis J. Qajar & C. Arns 10.1029/2021WR031298
- An automatic segmentation algorithm for retrieving sub-resolution porosity from X-ray tomography images P. Smal et al. 10.1016/j.petrol.2018.02.062
- Ternary segmentation and estimation of permeability for porous rocks based on 3D X-ray computed tomographic images by hidden Markov random field and Brinkman-force lattice Boltzmann model E. Yang et al. 10.1016/j.jhydrol.2021.126377
- A comparative study of micro-CT and mercury intrusion techniques for predicting permeability and surface area evolution during chemical dissolution J. Qajar & C. Arns 10.1016/j.advwatres.2022.104301
- The influence of pore geometry and orientation on the strength and stiffness of porous rock L. Griffiths et al. 10.1016/j.jsg.2017.02.006
- Pore-scale tomography and imaging: applications, techniques and recommended practice M. Halisch et al. 10.5194/se-7-1141-2016
- Elastic Anisotropy and Internal Structure of Rocks from the Uranium Ore Occurrences of the Litsa Ore Area (Kola Region, Russia) V. Il’chenko & M. Gannibal 10.3390/geosciences9070284
- Digital core repository coupled with machine learning as a tool to classify and assess petrophysical rock properties V. Hébert et al. 10.1051/e3sconf/202014601003
- Quantifying Rock Weakening Due to Decreasing Calcite Mineral Content by Numerical Simulations M. Wetzel et al. 10.3390/ma11040542
- Characterization of reactive flow-induced evolution of carbonate rocks using digital core analysis - part 2: Calculation of the evolution of percolation and transport properties J. Qajar & C. Arns 10.1016/j.jconhyd.2017.08.002
- Semi-automated procedure of digitalization and study of rock thin section porosity applying optical image analysis tools E. Berrezueta et al. 10.1016/j.cageo.2018.12.009
- Hysteresis in permeability evolution simulated for a sandstone by mineral precipitation and dissolution M. Wetzel et al. 10.5194/adgeo-58-1-2022
- X-ray CT-based interpretation of microbial-induced carbonate precipitation and local hydraulic behaviors E. Yang et al. 10.1016/j.enggeo.2024.107426
Saved (preprint)
Latest update: 14 Dec 2024
Short summary
To evaluate oil and gas production, accurate characterization (usually based on laboratory experiments) of reservoir rock properties needs to be performed. X-ray scanning samples enable obtaining 3-D images of the rock inner structure from which those properties can be obtained using images processing. This article shows that these two approaches are complementary and yield consistent results. Moreover, image-based calculations allow to save a huge amount of time compared to lab-based measures.
To evaluate oil and gas production, accurate characterization (usually based on laboratory...
