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Journal of Earth Science

, Volume 28, Issue 2, pp 391–403 | Cite as

Representative Elementary Volume (REV) in spatio-temporal domain: A method to find REV for dynamic pores

Engineering Geology

Abstract

One of the potential risks associated with subsurface storage of CO2 is the seepage of CO2 through existing faults and fractures. There have been a number of studies devoted to this topic. Some of these studies show that geochemistry, especially mineralization, plays an important role in rendering the faults as conduits for CO2 movement while others show that mineralization due to CO2 injection can result in seep migration and flow diversion. Therefore, understanding the changes in reservoir properties due to pore alterations is important to ensure safe long term CO2 storage in the subsurface. We study the changes in the Representative Elementary Volume (REV) of a rock due to reactive kinetics over a time, using a statistical approach and pore-scale CO2-rock interactiondata. The goal of this study is to obtain the REV of a rock property that accounts for pore-scale changes over time due to reactive kinetics, and we call this as spatiotemporal REV. Scale-up results suggest that the REV changes with time when CO2-rock interaction is considered. It is hypothesized that the alteration in pore structure introduces more heterogeneity in the rock, and because of this the magnitude of REV increases. It is possible that these noticeable changes in REV at pore-scale may have an impact when analyzed at the reservoir scale.

Key Words

reactive dynamics reaction rate constant CO2 scale-up upscaling geostatistics 

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Notes

Acknowledgments

This research is based upon work supported by the Center for Frontiers of Subsurface Energy Security (CFSES), UT Austin, funded by Basic Energy Sciences at the U.S. Department of Energy. The authors would like to thank Saeed Ovaysi, Sanjay Srinivasan, and Mary Wheeler for providing the pore-scale data for this research. The final publication is available at Springer via http://dx.doi.org/10.1007/s12583-017-0726-8.

References Cited

  1. Arsyad, A., Mitani, Y., Babadagli, T., 2013. Comparative Assessment of Potential Ground Uplift Induced by Injection of CO2 into Ainoura, and Berea Sandstone Formations. Procedia Earth and Planetary Science, 6: 278–286. https://doi.org/10.1016/j.proeps.2013.01.037CrossRefGoogle Scholar
  2. Arvidson, R. S., Luttge, A., 2010. Mineral Dissolution Kinetics as a Function of Distance from Equilibrium–New Experimental Results. Chemical Geology, 269(1–2): 79–88. https://doi.org/10.1016/j.chemgeo.2009.06.009CrossRefGoogle Scholar
  3. Bear, J., 1972. Dynamics of Fluids in Porous Media. American Elsevier Pub. Co.Google Scholar
  4. Blumenfeld, R., Blunt, M., Bijeljic, B., et al., 2013. Imperial College Consortium on Pore-Scale Modeling (Yearly Progress Report). London, UK: Imperial College.Google Scholar
  5. Chou, L., Garrels, R. M., Wollast, R., 1989. Comparative Study of the Kinetics and Mechanisms of Dissolution of Carbonate Minerals. Chemical Geology, 78(3–4): 269–282. https://doi.org/10.1016/0009-2541(89)90063-6CrossRefGoogle Scholar
  6. Davis, M. C., Wesolowski, D. J., Rosenqvist, J., et al., 2011. Solubility and Near-Equilibrium Dissolution Rates of Quartz in Dilute NaCl Solutions at 398–473 K under Alkaline Conditions. Geochimica et Cosmochimica Acta, 75(2): 401–415. https://doi.org/10.1016/j.gca.2010.10.023CrossRefGoogle Scholar
  7. Deutsch, C. V., Journel, A. G., 1997. GSLIB: Geostatistical Software Library and User’s Guide (2nd ed.). Oxford University Press, U.S.A..Google Scholar
  8. Dong, H., 2007. Micro CT Imaging and Pore Network Extraction:[Dissertation]. Imperial College, London.Google Scholar
  9. Ellis, B. R., Crandell, L. E., Peters, C. A., 2010. Limitations for Brine Acidification due to SO2 Co-Injection in Geologic Carbon Sequestration. International Journal of Greenhouse Gas Control, 4(3): 575–582. https://doi.org/10.1016/j.ijggc.2009.11.006CrossRefGoogle Scholar
  10. Gunter, W. D., Wiwehar, B., Perkins, E. H., 1997. Aquifer Disposal of CO2-Rich Greenhouse Gases: Extension of the Time Scale of Experiment for CO2-Sequestering Reactions by Geochemical Modelling. Mineralogy and Petrology, 59(1–2): 121–140. https://doi.org/10.1007/BF01163065CrossRefGoogle Scholar
  11. Izgec, O., Demiral, B., Bertin, H., et al., 2005. CO2 Injection in Carbonates. In Proceedings of SPE Western Regional Meeting. 30 March–1 April, Irvine, California. https://doi.org/10.2118/93773-MSCrossRefGoogle Scholar
  12. Izgec, O., Demiral, B., Bertin, H., et al., 2007. CO2 Injection into Saline Carbonate Aquifer Formations II: Comparison of Numerical Simulations to Experiments. Transport in Porous Media, 73(1): 57–74. https://doi.org/10.1007/s11242-007-9160-1CrossRefGoogle Scholar
  13. Johnson, J. W., Nitao, J. J., Knauss, K. G., 2004. Reactive Transport Modelling of CO2 Storage in Saline Aquifers to Elucidate Fundamental Processes, Trapping Mechanisms and Sequestration Partitioning. Geological Society, London, Special Publications, 233(1): 107–128. https://doi.org/10.1144/GSL.SP.2004.233.01.08CrossRefGoogle Scholar
  14. Kim, E., 2012. Investigation of CO2 Seeps at the Crystal Geyser Site Using Numerical Modeling with Geochemistry:[Dissertation]. The University of Texas at Austin, Austin.Google Scholar
  15. Knauss, K. G., Wolery, T. J., 1988. The Dissolution Kinetics of Quartz as a Function of PH and Time at 70 °C. Geochimica et Cosmochimica Acta, 52(1): 43–53. https://doi.org/10.1016/0016-7037(88)90055-5CrossRefGoogle Scholar
  16. Lake, L. W., Bryant, S. L., Araque-Martinez, A. N., 2002. Geochemistry and Fluid Flow. Elsevier.Google Scholar
  17. Lake, L. W., Srinivasan, S., 2004. Statistical Scale-Up of Reservoir Properties: Concepts and Applications. Journal of Petroleum Science and Engineering, 44(1–2): 27–39. https://doi.org/10.1016/j.petrol.2004.02.003CrossRefGoogle Scholar
  18. Lasaga, A. C., 1998. Kinetic Theory in the Earth Sciences. Princeton University Press.CrossRefGoogle Scholar
  19. Le Borgne, T., Gouze, P., 2008. Non-Fickian Dispersion in Porous Media: 2. Model Validation from Measurements at Different Scales. Water Resources Research, 44(6): W06427. https://doi.org/10.1029/2007WR006279CrossRefGoogle Scholar
  20. Leung, J., Srinivasan, S., 2011. Analysis of Uncertainty Introduced by Scaleup of Reservoir Attributes and Flow Response in Heterogeneous Reservoirs. SPE Journal. https://doi.org/10.2118/145678-PAGoogle Scholar
  21. Li, L., Steefel, C. I., Yang, L., 2008. Scale Dependence of Mineral Dissolution Rates within Single Pores and Fractures. Geochimica et Cosmochimica Acta, 72(2): 360–377. https://doi.org/16/j.gca.2007.10.027CrossRefGoogle Scholar
  22. Lichtner, P. C., Steefel, C. I., Oelkers, E. H., 1996. Reactive Transport in Porous Media. Washington, DC: Mineralogical Society of America.Google Scholar
  23. Liu, Q., Maroto-Valer, M. M., 2011. Parameters Affecting Mineral Trapping of CO2 Sequestration in Brines. Greenhouse Gases: Science and Technology, 1(3): 211–222. https://doi.org/10.1002/ghg.29CrossRefGoogle Scholar
  24. Miri, R., van Noort, R., Aagaard, P., et al., 2015. New Insights on the Physics of Salt Precipitation during Injection of CO2 into Saline Aquifers. International Journal of Greenhouse Gas Control, 43: 10–21. https://doi.org/10.1016/j.ijggc.2015.10.004CrossRefGoogle Scholar
  25. Morse, J. W., Arvidson, R. S., Lüttge, A., 2007. Calcium Carbonate Formation and Dissolution. Chemical Reviews, 107(2): 342–381. https://doi.org/10.1021/cr050358jCrossRefGoogle Scholar
  26. Øren, P.-E., Bakke, S., 2003. Reconstruction of Berea Sandstone and Pore-Scale Modelling of Wettability Effects. Journal of Petroleum Science and Engineering, 39(3–4): 177–199. https://doi.org/10.1016/S0920-4105(03)00062-7CrossRefGoogle Scholar
  27. Ovaysi, S., Piri, M., 2010. Direct Pore-Level Modeling of in Compressible Fluid Flow in Porous Media. Journal of Computational Physics, 229(19): 7456–7476. https://doi.org/10.1016/j.jcp.2010.06.028CrossRefGoogle Scholar
  28. Ovaysi, S., Piri, M., 2011. Pore-Scale Modeling of Dispersion in Disordered Porous Media. Journal of Contaminant Hydrology, 124(1–4): 68–81. https://doi.org/10.1016/j.jconhyd.2011.02.004CrossRefGoogle Scholar
  29. Ovaysi, S., Piri, M., 2013. Pore-Scale Dissolution of CO2 + SO2 in Deep Saline Aquifers. International Journal of Greenhouse Gas Control, 15: 119–133. https://doi.org/10.1016/j.ijggc.2013.02.009CrossRefGoogle Scholar
  30. Ovaysi, S., Piri, M., 2014. Pore-Space Alteration Induced by Brine Acidification in Subsurface Geologic Formations. Water Resources Research, 50(1): 440–452. https://doi.org/10.1002/2013WR014289CrossRefGoogle Scholar
  31. Pham, T., Aagaard, P., Hellevang, H., 2012. On the Potential for CO2 Mineral Storage in Continental Flood Basalts–PHREEQC Batch-and 1D Diffusion–Reaction Simulations. Geochemical Transactions, 13(1): 5. https://doi.org/10.1186/1467-4866-13-5CrossRefGoogle Scholar
  32. Pham, V. T. H., Lu, P., Aagaard, P., Zhu, C., Hellevang, H., 2011. On the Potential of CO2-Water-Rock Interactions for CO2 Storage Using a Modified Kinetic Model. International Journal of Greenhouse Gas Control, 5(4): 1002–1015. https://doi.org/10.1016/j.ijggc.2010.12.002CrossRefGoogle Scholar
  33. Rathnaweera, T. D., Ranjith, P. G., Perera, M. S. A., 2016. Experimental Investigation of Geochemical and Mineralogical Effects of CO2 Sequestration on Flow Characteristics of Reservoir Rock in Deep Saline Aquifers. Scientific Reports, 6: 19362. https://doi.org/10.1038/srep19362CrossRefGoogle Scholar
  34. Rochelle, C. A., Czernichowski-Lauriol, I., Milodowski, A. E., 2004. The Impact of Chemical Reactions on CO2 Storage in Geological Formations: A Brief Review. Geological Society, London, Special Publications, 233(1): 87–106. https://doi.org/10.1144/GSL.SP.2004.233.01.07CrossRefGoogle Scholar
  35. Shipton, Z. K., Evans, J. P., Kirschner, D., et al., 2004. Analysis of CO2 Leakage Through “Low-Permeability” Faults from Natural Reservoirs in the Colorado Plateau, East-Central Utah. Geological Society, London, Special Publications, 233(1): 43–58. https://doi.org/10.1144/GSL.SP.2004.233.01.05CrossRefGoogle Scholar
  36. Singh, H., 2014. Scale-Up of Reactive Processes in Heterogeneous Media: [Dissertation]. The University of Texas at Austin, Austin.Google Scholar
  37. Singh, H., Srinivasan, S., 2014a. Scale-Up of Reactive Processes in Heterogeneous Media-Numerical Experiments and Semi-Analytical Modeling. Presented at the SPE Improved Oil Recovery Symposium, Tulsa, Oklahoma, USA: Society of Petroleum Engineers. https://doi.org/10.2118/169133-MSCrossRefGoogle Scholar
  38. Singh, H., Srinivasan, S., 2014b. Some Perspectives on Scale-Up of Flow and Transport in Heterogeneous Media. Bulletin of Canadian Petroleum Geology.Google Scholar
  39. Sund, N. L., Bolster, D., Dawson, C., 2015. Upscaling Transport of a Reacting Solute through a Peridocially Converging-Diverging Channel at Pre-Asymptotic Times. Journal of Contaminant Hydrology, 182: 1–15. https://doi.org/10.1016/j.jconhyd.2015.08.003CrossRefGoogle Scholar
  40. TriScattered Interp., R. 2013b. Math Works. Retrieved from http://www.mathworks.com/help/matlab/ref/triscatteredinterp.htmlGoogle Scholar
  41. Vishal, V., Leung, J. Y., 2015. Modeling Impacts of Subscale Heterogeneities on Dispersive Solute Transport in Subsurface Systems. Journal of Contaminant Hydrology, 182: 63–77. https://doi.org/10.1016/j.jconhyd.2015.08.006CrossRefGoogle Scholar

Copyright information

© China University of Geosciences and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.The University of Texas at AustinAustinUSA
  2. 2.National Energy Technology LaboratoryMorgantownUSA

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