Comparison of Pore Space Features by Thin Sections and X-Ray Microtomography
Microtomographic images and thin section (TS)
images were analyzed and compared against some parameters of
geological interest such as porosity and its distribution along the
samples. The results show that microtomography ( CT) analysis,
although limited by its resolution, have some interesting information
about the distribution of porosity (homogeneous or not) and can also
quantify the connected and non-connected pores, i.e., total porosity.
TS have no limitations concerning resolution, but are limited by the
experimental data available in regards to a few glass sheets for
analysis and also can give only information about the connected
pores, i.e., effective porosity. Those two methods have their own
virtues and flaws but when paired together they are able to
complement one another, making for a more reliable and complete
analysis.
<p>[1] Thomas R. Elliot, Richard J. Heck, “Comparison of optical and X-ray
CT technique for void analysis in soil thin section”, Geoderma, vol. 141
(1-2), 2007, pp. 60-70.
[2] P.J. Armitage , R.H. Worden, D.R. Faulkner, A.C. Aplin, A.R. Butcher,
J. Iliffe, “Diagenetic and sedimentary controls on porosity in Lower
Carboniferous fine grained lithologies, Krechba field, Algeria: A
petrological study of a caprock to a carbon capture site”, Marine and
Petroleum Geology, vol.27 (7), 2010, pp. 1395-1410.
[3] Desbois, G., Urai, J.L., Kukla, P.A., Konstanty, J., Baerle, C., “Highresolution
3D fabric and porosity model in a tight gas sandstone
reservoir: A new approach to investigate microstructures from mm- to
nm-scale combining argon beam cross-sectioning and SEM imaging”,
Journal of Petroleum Science and Engineering, vol. 78 (2), 2011, pp.
243-257.
[4] Terry Moxon, “Studies on Agate”, 2009, Terra Publications.
[5] M. Van Geet, R. Swennen, M. Wevers, “Quantitative analysis of
reservoir rocks by microfocus X-ray computerised tomography”,
Sedimentary Geology, vol. 132, 2000, pp. 25–36.
[6] M. Van Geet, D. Lagrou , R. Swennen , “Porosity measurements of
sedimentary rocks by means of microfocus X-ray computed
tomography”, Sedimentary Geology, vol. 132 (1-2), 2003, pp. 25-36.
[7] M. F. S. Oliveira, I. Lima, L. Borghi, R. T. Lopes, “X-ray
microtomography application in pore space reservoir rock”, Applied
Radiation and Isotopes, vol. 70 (7), 2012, pp. 1376–1378.
[8] A.C. Machado, I. Lima, R.T. Lopes, “Effect of 3d computed
microtomography resolution on reservoir rocks”, Radiation Physics and
Chemistry, 2013, http://dx.doi.org/10.1016/j.radphyschem.2012.12.029.
[9] K. Remeysen, R. Swennen, “Application of microfocus computed
tomography in carbonate reservoir characterization: Possibilities and
limitations”, Marine and Petroleum Geology, vol. 25, 2008, pp. 486–
499.
[10] Skyscan 1173, 2013. “User Guide”, SkyScan/Bruker Micro-CT,
Kartuizerweg 3B 2550 Kontich, Belgium.
[11] NRecon, 2013. SkyScan/Bruker Micro-CT, Kartuizerweg 3B 2550
Kontich, Belgium.
[12] InstaRecon®, 2013. CBR Premium 12-8K™, InstaRecon, Champaign,
IL, USA.
[13] CTAnalyser, 2013, “The User's Guide”, Skyscan/Bruker micro-CT,
Kartuizerweg 3B 2550 Kontich, Belgium.
[14] Nobuyuki Otsu, “A threshold selection method from gray-level
histograms”, IEEE Transactions on Systems, Man and Cybernetics, vol.
smc-9, no.1,1979, pp.62-66.
[15] MicroscopyU,“Introduction to Polarized Light
Microscopy”,http://www.microscopyu.com/articles/polarized/polarizedi
ntro.html, last viewed: March 2013.
[16] JavadGhiasi-Freez, ImanSoleimanpour, Ali Kadkhodaie-Ilkhchi, Mansur
Ziaii, Mahdi Sedighi, Amir Hatampour, “Semi-automated porosity
identification from thin section images using image analysis and
intelligent discriminant classifiers” 2012, Computer & Geosciences, vol.
45, pp. 36-45.</p>
<p>[1] Thomas R. Elliot, Richard J. Heck, “Comparison of optical and X-ray
CT technique for void analysis in soil thin section”, Geoderma, vol. 141
(1-2), 2007, pp. 60-70.
[2] P.J. Armitage , R.H. Worden, D.R. Faulkner, A.C. Aplin, A.R. Butcher,
J. Iliffe, “Diagenetic and sedimentary controls on porosity in Lower
Carboniferous fine grained lithologies, Krechba field, Algeria: A
petrological study of a caprock to a carbon capture site”, Marine and
Petroleum Geology, vol.27 (7), 2010, pp. 1395-1410.
[3] Desbois, G., Urai, J.L., Kukla, P.A., Konstanty, J., Baerle, C., “Highresolution
3D fabric and porosity model in a tight gas sandstone
reservoir: A new approach to investigate microstructures from mm- to
nm-scale combining argon beam cross-sectioning and SEM imaging”,
Journal of Petroleum Science and Engineering, vol. 78 (2), 2011, pp.
243-257.
[4] Terry Moxon, “Studies on Agate”, 2009, Terra Publications.
[5] M. Van Geet, R. Swennen, M. Wevers, “Quantitative analysis of
reservoir rocks by microfocus X-ray computerised tomography”,
Sedimentary Geology, vol. 132, 2000, pp. 25–36.
[6] M. Van Geet, D. Lagrou , R. Swennen , “Porosity measurements of
sedimentary rocks by means of microfocus X-ray computed
tomography”, Sedimentary Geology, vol. 132 (1-2), 2003, pp. 25-36.
[7] M. F. S. Oliveira, I. Lima, L. Borghi, R. T. Lopes, “X-ray
microtomography application in pore space reservoir rock”, Applied
Radiation and Isotopes, vol. 70 (7), 2012, pp. 1376–1378.
[8] A.C. Machado, I. Lima, R.T. Lopes, “Effect of 3d computed
microtomography resolution on reservoir rocks”, Radiation Physics and
Chemistry, 2013, http://dx.doi.org/10.1016/j.radphyschem.2012.12.029.
[9] K. Remeysen, R. Swennen, “Application of microfocus computed
tomography in carbonate reservoir characterization: Possibilities and
limitations”, Marine and Petroleum Geology, vol. 25, 2008, pp. 486–
499.
[10] Skyscan 1173, 2013. “User Guide”, SkyScan/Bruker Micro-CT,
Kartuizerweg 3B 2550 Kontich, Belgium.
[11] NRecon, 2013. SkyScan/Bruker Micro-CT, Kartuizerweg 3B 2550
Kontich, Belgium.
[12] InstaRecon®, 2013. CBR Premium 12-8K™, InstaRecon, Champaign,
IL, USA.
[13] CTAnalyser, 2013, “The User's Guide”, Skyscan/Bruker micro-CT,
Kartuizerweg 3B 2550 Kontich, Belgium.
[14] Nobuyuki Otsu, “A threshold selection method from gray-level
histograms”, IEEE Transactions on Systems, Man and Cybernetics, vol.
smc-9, no.1,1979, pp.62-66.
[15] MicroscopyU,“Introduction to Polarized Light
Microscopy”,http://www.microscopyu.com/articles/polarized/polarizedi
ntro.html, last viewed: March 2013.
[16] JavadGhiasi-Freez, ImanSoleimanpour, Ali Kadkhodaie-Ilkhchi, Mansur
Ziaii, Mahdi Sedighi, Amir Hatampour, “Semi-automated porosity
identification from thin section images using image analysis and
intelligent discriminant classifiers” 2012, Computer & Geosciences, vol.
45, pp. 36-45.</p>
@article{"International Journal of Chemical, Materials and Biomolecular Sciences:51296", author = "H. Alves and J. T. Assis and M. Geraldes and I. Lima and R. T. Lopes", title = "Comparison of Pore Space Features by Thin Sections and X-Ray Microtomography", abstract = "Microtomographic images and thin section (TS)
images were analyzed and compared against some parameters of
geological interest such as porosity and its distribution along the
samples. The results show that microtomography ( CT) analysis,
although limited by its resolution, have some interesting information
about the distribution of porosity (homogeneous or not) and can also
quantify the connected and non-connected pores, i.e., total porosity.
TS have no limitations concerning resolution, but are limited by the
experimental data available in regards to a few glass sheets for
analysis and also can give only information about the connected
pores, i.e., effective porosity. Those two methods have their own
virtues and flaws but when paired together they are able to
complement one another, making for a more reliable and complete
analysis.
", keywords = "Microtomography, petrographical microscopy,
sediments, thin sections.", volume = "7", number = "7", pages = "495-6", }
