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Characterization of Nanometer-Scale Porosity in Reservoir Carbonate Rock by Focused Ion Beam–Scanning Electron Microscopy

Published online by Cambridge University Press:  04 January 2012

Bijoyendra Bera
Affiliation:
Department of Mechanical Engineering, Micro and Nano-Scale Transport Laboratory, University of Alberta, Edmonton, AB T6G 2G8, Canada
Naga Siva Kumar Gunda
Affiliation:
Department of Mechanical Engineering, Micro and Nano-Scale Transport Laboratory, University of Alberta, Edmonton, AB T6G 2G8, Canada
Sushanta K. Mitra*
Affiliation:
Department of Mechanical Engineering, Micro and Nano-Scale Transport Laboratory, University of Alberta, Edmonton, AB T6G 2G8, Canada
Douglas Vick
Affiliation:
NRC-National Institute for Nanotechnology, Edmonton, AB T6G 2M9, Canada
*
Corresponding author. E-mail: [email protected]
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Abstract

Sedimentary carbonate rocks are one of the principal porous structures in natural reservoirs of hydrocarbons such as crude oil and natural gas. Efficient hydrocarbon recovery requires an understanding of the carbonate pore structure, but the nature of sedimentary carbonate rock formation and the toughness of the material make proper analysis difficult. In this study, a novel preparation method was used on a dolomitic carbonate sample, and selected regions were then serially sectioned and imaged by focused ion beam–scanning electron microscopy. The resulting series of images were used to construct detailed three-dimensional representations of the microscopic pore spaces and analyze them quantitatively. We show for the first time the presence of nanometer-scale pores (50–300 nm) inside the solid dolomite matrix. We also show the degree of connectivity of these pores with micron-scale pores (2–5 μm) that were observed to further link with bulk pores outside the matrix.

Type
Materials Applications
Copyright
Copyright © Microscopy Society of America 2012

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References

REFERENCES

Adams, B., Wright, S. & Kunze, K. (1993). Orientation imaging: The emergence of a new microscopy. Metal Trans A 24, 819831.CrossRefGoogle Scholar
Al-Kharusi, A.S. & Blunt, M. (2008). Multiphase flow predictions from carbonate pore space images using extracted network models. Water Resources Res 44, 114.Google Scholar
Barnett, S., Wilson, J., Kobsiriphat, W., Chen, H., Mendoza, R., Hiller, J.M., Miller, D., Thornton, K., Voorhees, P. & Adler, S. (2007). Three-Dimensional analysis of solid oxide fuel cells using focused ion beam-scanning electron microscopy. J Microsc Microanal 13, 596597.Google Scholar
Bastos, A., Zaefferer, S. & Raabe, D. (2008). Three-dimensional EBSD study on the relationship between triple junctions and columnar grains in electrodeposited Co-Ni films. J Microsc 230, 487498.Google Scholar
Bera, B., Mitra, S.K. & Vick, D. (2011). Understanding the micro structure of Berea Sandstone by the simultaneous use of micro-computed tomography (micro-CT) and focused ion beam-scanning electron microscopy (FIB-SEM). Micron 42, 412418.CrossRefGoogle ScholarPubMed
Desbois, G., Urai, J.L. & Kukla, P.A. (2009). Morphology of the pore space in claystones—evidence from BIB/FIB ion beam sectioning and cryo-SEM observations. eEarth 4, 1522.CrossRefGoogle Scholar
De Winter, D.A.M., Schneijdenberg, C.T.W.M., Lebbink, M.N., Lich, B., Verkleij, A.J., Drury, M.R. & Humbel, B.M. (2009). Tomography of insulating biological and geological materials using focused ion beam (FIB) sectioning and low-kV BSE imaging. J Microsc 233, 364371.CrossRefGoogle ScholarPubMed
Gunda, N.S.K., Choi, H., Berson, A., Kenney, B., Karan, K., Pharoah, J. & Mitra, S.K. (2011). Focused ion beam-scanning electron microscopy on solid-oxide fuel-cell electrode: Image analysis and computing effective transport properties. J Power Sources 196, 35923603.CrossRefGoogle Scholar
Hatzor, Y.H. & Palchik, V. (1997). The influence of grain size and porosity on crack initiation stress and critical flaw length in dolomites. Int J Rock Mech Mining Sci 34, 805816.CrossRefGoogle Scholar
Hazlett, R. (1995). Simulation of capillary-dominant displacements in microtomographic images of reservoir rocks. Transp Porous Media 20, 2135.CrossRefGoogle Scholar
Heath, J.E., Dewers, T.A., McPherson, B.J.O.L., Petrusak, R., Chidsey, T.C., Rinehart, A.J. & Mozley, P.S. (2011). Pore networks in continental and marine mudstones: Characteristics and controls on sealing behavior. Geosphere 7, 429454.CrossRefGoogle Scholar
Holzer, L., Munch, B., Rizzi, M., Wepf, R., Marschall, P. & Graule, T. (2010). 3D-microstructure analysis of hydrated bentonite with cryo-stabilized pore water. Appl Clay Sci 47, 330342.CrossRefGoogle Scholar
Joshi, S.D. (1986). A laboratory study of thermal oil recovery using horizontal wells. SPE Fifth Symposium on Enhanced Oil Recovery, Tulsa, OK, April 20–23, 1986. Richardson, TX: Society of Petroleum Engineers.Google Scholar
Knackstedt, M.A., Latham, S., Madadi, M., Sheppard, A. & Varslot, T. (2009). Digital rock physics: 3D imaging of core material and correlations to acoustic and flow properties Leading Edge 28, 2833.CrossRefGoogle Scholar
Lemmens, H.J., Butcher, A.R. & Botha, P.W.S.K. (2010). FIB/SEM and automated mineralogy for core and cuttings analysis. SPE Russian Oil and Gas Conference and Exhibition, Moscow, Russia, October 26–28, 2010. Richardson, TX: Society of Petroleum Engineers.Google Scholar
Liu, Q., Dong, M., Ma, S. & Tu, Y. (2007). Surfactant enhanced alkaline flooding for Western Canadian heavy oil recovery. Colloids Surf A: Physiochem Eng Aspects 293, 6371.Google Scholar
Loucks, R.G., Reed, R.M., Ruppel, S.C. & Jarvie, D.M. (2009). Morphology, genesis and distribution of nanometer-scale pores in siliceous mudstones of the Mississipian Barnett Shale. J Sed Res 79, 848861.CrossRefGoogle Scholar
Mogensen, K., Stenby, E.H. & Zhou, D. (2001). Studies of waterflooding in low-permeable chalk by use of X-ray CT scanning. J Pet Sci Eng 32, 110.CrossRefGoogle Scholar
Okabe, H. & Blunt, M.J. (2004). Prediction of permeability for porous media reconstructed using multiple-point statistics. Phys Rev E 70, 066135–10.Google Scholar
Pope, G. (1996). The application of fractional flow theory to EOR. Soc Petroleum Eng J 20, 191205.Google Scholar
Sayegh, S. & Fisher, D. (2009). Enhanced oil recovery by CO2 flooding in homogeneous and heterogeneous 2D micromodels. J Canadian Pet Technol 48, 3036.CrossRefGoogle Scholar
Schwarzer, R. (1997). Automated crystal lattice orientation mapping using a computer-controlled SEM. Micron 24, 249265.Google Scholar
Sondergeld, C.H., Ambrose, R.J., Rai, C.S. & Moncrieff, J. (2010). Micro-structural studies of gas shales. SPE Unconventional Gas Conference, Pittsburgh, PA, February 23–25. Richardson, TX: Society of Petroleum Engineers.Google Scholar
Suicmez, V.S., Piri, M. & Blunt, M.J. (2008). Effects of wettability and pore-level displacement on hydrocarbon trapping. Adv Water Res 31, 503512.CrossRefGoogle Scholar
Thibodeau, L. & Neale, G.H. (1998). Effects of connate water on chemical flooding processes in porous media. J Pet Sci Eng 19, 159169.CrossRefGoogle Scholar
Tomutsa, L. & Silin, D.T. (2004). Nanoscale pore imaging and pore-scale fluid flow modeling in chalk. Berkeley, CA: Lawrence Berkeley National Laboratory.Google Scholar
Wilson, J., Cronin, J., Duong, A., Rukes, S., Chen, H., Thornton, K., Mumm, D. & Barnett, S. (2010). Effect of composition of (La0.8Sr0.2MnO3Y2O3-stabilized ZrO2) cathodes: Correlating three-dimensional microstructure and polarization resistance. J Power Sources 195, 18291840.Google Scholar
Wilson, J., Kobsiriphat, W., Mendoza, R., Chen, H., Hiller, J., Miller, D., Thornton, K., Voorhees, P., Adler, S. & Barnett, S. (2006). Three-dimensional reconstruction of a solid-oxide fuel-cell anode. Nat Mater 5, 541544.Google Scholar
Wirth, R. (2009). Focused ion beam (FIB) combined with SEM and TEM: Advanced analytical tools for studies of chemical composition, microstructure and crystal structure in geomaterials on a nanometre scale. Chem Geol 261, 217229.CrossRefGoogle Scholar
Zhao, X., Blunt, M.J. & Yao, J. (2010). Pore-scale modelling: Effects wettability on waterflood oil recovery. J Pet Sci Eng 71, 169178.Google Scholar