1887
Volume 27, Issue 2
  • ISSN: 1354-0793
  • E-ISSN:

Abstract

The growing importance of subsurface carbon storage for tackling anthropogenic carbon emissions requires new ideas to improve the rate and cost of carbon capture and storage (CCS) project development and implementation. We assessed sandstones from the UK Geoenergy Observatories (UKGEOS) site in Glasgow, UK and the Wilmslow Sandstone Formation (WSF) in Cumbria, UK at the pore scale to indicate suitability for further assessment as CCS reservoirs. We measured porosity, permeability and other pore geometry characteristics using digital rock physics techniques on microcomputed tomographic images of core material from each site. We found the Glasgow material to be unsuitable for CCS due to very low porosity (up to 1.65%), whereas the WSF material showed connected porosity up to 26.3% and permeabilities up to 6040 mD. Our results support the presence of a percolation threshold at 10% total porosity, introducing near full connectivity. We found total porosity varies with permeability with an exponent of 3.19. This provides a reason to assume near full connectivity in sedimentary samples showing porosities above this threshold without the need for expensive and time-consuming analyses.

Information about the boreholes sampled in this study, additional well logs of boreholes and a summary of the supporting data plotted throughout this article from literature are available at https://doi.org/10.6084/m9.figshare.c.5260074

This article is part of the Geoscience for CO storage collection available at: https://www.lyellcollection.org/cc/geoscience-for-co2-storage

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2021-03-19
2021-07-29
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References

  1. Allwood, J., Azevedo, J. et al.
    2019. Absolute Zero: Delivering the UK's Climate Change Commitment with Incremental Changes to Today's Technologies. Technical Report. University of Cambridge, Cambridge, UK, https://doi.org/10.17863/CAM.46075
    [Google Scholar]
  2. Ambrose, K., Hough, E., Smith, N.J.P. and Warrington, G.
    2014. Lithostratigraphy of the Sherwood Sandstone Group of England, Wales and South-West Scotland. Technical Report. British Geological Survey, Nottingham, UK, http://nora.nerc.ac.uk/id/eprint/507530/1/RR14001.pdf
    [Google Scholar]
  3. Bachu, S
    . 2015. Review of CO2 storage efficiency in deep saline aquifers. International Journal of Greenhouse Gas Control, 40, 188–202, https://doi.org/10.1016/J.IJGGC.2015.01.007
    [Google Scholar]
  4. Bloomfield, J.P., Moreau, M.F. and Newell, A.J
    . 2006. Characterization of permeability distributions in six lithofacies from the Helsby and Wilmslow sandstone formations of the Cheshire Basin, UK. Geological Society, London, Special Publications , 263, 83–101, https://doi.org/10.1144/GSL.SP.2006.263.01.04
    [Google Scholar]
  5. Blunt, M.J., Bijeljic, B. et al.
    2013. Pore-scale imaging and modelling. Advances in Water Resources, 51, 197–216, https://doi.org/10.1016/J.ADVWATRES.2012.03.003
    [Google Scholar]
  6. Boot-Handford, M.E., Abanades, J.C. et al.
    2014. Carbon capture and storage update. Energy & Environmental Science, 7, 130–189, https://doi.org/10.1039/C3EE42350F
    [Google Scholar]
  7. Bourbie, T. and Zinszner, B
    . 1985. Hydraulic and acoustic properties as a function of porosity in Fontainebleau Sandstone. Journal of Geophysical Research: Solid Earth, 90, 11  524–11  532, https://doi.org/10.1029/JB090iB13p11524
    [Google Scholar]
  8. Buades, A., Coll, B. and Morel, J.M
    . 2008. Nonlocal image and movie denoising. International Journal of Computer Vision, 76, 123–139, https://doi.org/10.1007/s11263-007-0052-1
    [Google Scholar]
  9. . 2010. Image denoising methods. A new nonlocal principle. SIAM Review, 52, 113–147, https://doi.org/10.1137/090773908
    [Google Scholar]
  10. CCUS Cost Challenge Taskforce
    2018. Delivering Clean Growth: CCUS Cost Challenge Taskforce Report. Technical Report. Government of the United Kingdom, https://www.gov.uk/government/groups/ccus-cost-challenge-taskforce
    [Google Scholar]
  11. Chadwick, R.A., Kirby, G.A. and Holloway, S.
    2002. Saline Aquifer CO2 Storage (SACS2) Final Report: Geological Characterisation of the Utsira Sand Reservoir and Caprocks (Work Area 1) (CR/02/153N). Technical Report. British Geological Survey, Nottingham, UK, http://nora.nerc.ac.uk/id/eprint/511461/
    [Google Scholar]
  12. Committee on Climate Change
    2019. Net Zero: The UK's Contribution to Stopping Global Warming. Technical Report. Government of the United Kingdom, https://www.theccc.org.uk/publication/net-zero-the-uks-contribution-to-stopping-global-warming/
    [Google Scholar]
  13. De Silva, G., Ranjith, P. and Perera, M
    . 2015. Geochemical aspects of CO2 sequestration in deep saline aquifers: a review. Fuel, 155, 128–143, https://doi.org/10.1016/J.FUEL.2015.03.045
    [Google Scholar]
  14. Doyen, P.M
    . 1988. Permeability, conductivity, and pore geometry of sandstone. Journal of Geophysical Research: Solid Earth, 93, 7729–7740, https://doi.org/10.1029/JB093iB07p07729
    [Google Scholar]
  15. du Plessis, J
    . 1999. Introducing a percolation threshold in pore-scale modelling. Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy, 24, 617–620, https://doi.org/10.1016/S1464-1895(99)00089-7
    [Google Scholar]
  16. Evans, D.J., Rees, J.G. and Holloway, S
    . 1993. The Permian to Jurassic stratigraphy and structural evolution of the central Cheshire Basin. Journal of the Geological Society, London, 150, 857–870, https://doi.org/10.1144/gsjgs.150.5.0857
    [Google Scholar]
  17. Ghesmat, K., Hassanzadeh, H. and Abedi, J
    . 2011. The impact of geochemistry on convective mixing in a gravitationally unstable diffusive boundary layer in porous media: CO2 storage in saline aquifers. Journal of Fluid Mechanics, 673, 480–512, https://doi.org/10.1017/S0022112010006282
    [Google Scholar]
  18. Gislason, S.R., Wolff-Boenisch, D. et al.
    2010. Mineral sequestration of carbon dioxide in basalt: a pre-injection overview of the CarbFix project. International Journal of Greenhouse Gas Control, 4, 537–545, https://doi.org/10.1016/J.IJGGC.2009.11.013
    [Google Scholar]
  19. Gomez, C.T., Dvorkin, J. and Vanorio, T
    . 2010. Laboratory measurements of porosity, permeability, resistivity, and velocity on Fontainebleau sandstones. Geophysics, 75, E191–E204, https://doi.org/10.1190/1.3493633
    [Google Scholar]
  20. Government of Norway
    2017. Better Growth, Lower Emissions – The Norwegian Government's Strategy for Green Competitiveness. Technical Report. Ministry of Climate and Environment, https://www.regjeringen.no/contentassets/4a98ed15ec264d0e938863448ebf7ba8/t-1562e.pdf
    [Google Scholar]
  21. Government of the United Kingdom
    2008. Climate Change Act 2008, http://www.legislation.gov.uk/ukpga/2008/27/introduction
  22. Griffiths, K.J., Stand, P. and Ingram, J.
    2002. Baseline Report Series: 2. The Permo-Triassic Sandstones of West Cheshire and the Wirral. Technical Report. British Geological Survey, Nottingham, UK, http://nora.nerc.ac.uk/id/eprint/3567/1/CR02109N.pdf
    [Google Scholar]
  23. IEA
    2020. Energy Technology Perspectives 2020 – Special Report on Carbon Capture Utilisation and Storage: CCUS in Clean Energy Transitions. OECD Publishing, Paris, https://doi.org/10.1787/208b66f4-en
    [Google Scholar]
  24. Jackson, D.I., Johnson, H. and Smith, N.J.
    1997. Stratigraphical relationships and a revised lithostratigraphical nomenclature for the Carboniferous, Permian and Triassic rocks of the offshore East Irish Sea Basin. Geological Society, London, Special Publications , 124, 11–32, https://doi.org/10.1144/GSL.SP.1997.124.01.02
    [Google Scholar]
  25. Jarzyna, J.A., Krakowska, P.I. et al.
    2016. X-ray computed microtomography – a useful tool for petrophysical properties determination. Computational Geosciences, 20, 1155–1167, https://doi.org/10.1007/s10596-016-9582-3
    [Google Scholar]
  26. Jiang, F. and Tsuji, T
    . 2014. Changes in pore geometry and relative permeability caused by carbonate precipitation in porous media. Physical Review E, 90, 053306, https://doi.org/10.1103/PhysRevE.90.053306
    [Google Scholar]
  27. Johnson, J.W., Nitao, J.J. and 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, 107–128, https://doi.org/10.1144/GSL.SP.2004.233.01.08
    [Google Scholar]
  28. Kearsey, T., Gillespie, M. et al.
    2019. UK Geoenergy Observatories Glasgow: GGC01 Cored, Seismic Monitoring Borehole – Intermediate Data Release. British Geological Survey Open Report OR/19/049. British Geological Survey, Nottingham, UK, http://nora.nerc.ac.uk/id/eprint/525009/
    [Google Scholar]
  29. Kingdon, A., Dearden, R.A. and Fellgett, M.W.
    2018. UK Geoenergy Observatories Cheshire Energy Research Field Site: Science Infrastructure. Technical Report. British Geological Survey, Nottingham, UK, http://nora.nerc.ac.uk/id/eprint/522360
    [Google Scholar]
  30. Kinniburgh, D.G., Newell, A.J., Davies, J., Smedley, P.L., Milodowski, A.E., Ingram, J.A. and Merrin, P.D
    . 2006. The arsenic concentration in groundwater from the Abbey Arms Wood observation borehole, Delamere, Cheshire, UK. Geological Society, London, Special Publications , 263, 265–284, https://doi.org/10.1144/GSL.SP.2006.263.01.15
    [Google Scholar]
  31. Liu, J. and Regenauer-Lieb, K
    . 2011. Application of percolation theory to micro-tomography of structured media: percolation threshold, critical exponents, and upscaling. Physical Review E, 83, 16106, https://doi.org/10.1103/PhysRevE.83.016106
    [Google Scholar]
  32. Madonna, C., Quintal, B. et al.
    2013. Synchrotron-based X-ray tomographic microscopy for rock physics investigations. Geophysics, 78, D53–D64, https://doi.org/10.1190/geo2012-0113.1
    [Google Scholar]
  33. Mardones, C. and Flores, B
    . 2018. Effectiveness of a CO2 tax on industrial emissions. Energy Economics, 71, 370–382, https://doi.org/10.1016/J.ENECO.2018.03.018
    [Google Scholar]
  34. Matter, J.M., Broecker, W. et al.
    2009. Permanent carbon dioxide storage into basalt: the CarbFix pilot project, Iceland. Energy Procedia, 1, 3641–3646, https://doi.org/10.1016/J.EGYPRO.2009.02.160
    [Google Scholar]
  35. 2011. The CarbFix Pilot Project – Storing carbon dioxide in basalt. Energy Procedia, 4, 5579–5585, https://doi.org/10.1016/J.EGYPRO.2011.02.546
    [Google Scholar]
  36. Matter, J.M., Stute, M. et al.
    2016. Rapid carbon mineralization for permanent disposal of anthropogenic carbon dioxide emissions. Science, 352, 1312–1314, https://doi.org/10.1126/science.aad8132
    [Google Scholar]
  37. Mavko, G. and Nur, A
    . 1997. The effect of a percolation threshold in the Kozeny-Carman relation. Geophysics, 62, 1480–1482, https://doi.org/10.1190/1.1444251
    [Google Scholar]
  38. Michie, U.M. and Bowden, R.A
    . 1994. UK NIREX geological investigations at Sellafield. Proceedings of the Yorkshire Geological Society, 50, 5–9, https://doi.org/10.1144/pygs.50.1.5
    [Google Scholar]
  39. Monaghan, A., Starcher, V., O Dochartaigh, B., Shorter, K. and Burkin, J.
    2019. UK Geoenergy Observatories: Glasgow Geothermal Energy Research Field Site: Science Infrastructure Version 2. Technical Report. British Geological Survey, Nottingham, UK, http://nora.nerc.ac.uk/id/eprint/522814/
    [Google Scholar]
  40. Mountney, N.P. and Thompson, D.B
    . 2002. Stratigraphic evolution and preservation of aeolian dune and damp/wet interdune strata: an example from the Triassic Helsby Sandstone Formation, Cheshire Basin, UK. Sedimentology, 49, 805–833, https://doi.org/10.1046/j.1365-3091.2002.00472.x
    [Google Scholar]
  41. Naylor, H., Turner, P., Vaughan, D.J., Boyce, A.J. and Fallick, A.E
    . 1989. Genetic studies of red bed mineralization in the Triassic of the Cheshire Basin, northwest England. Journal of the Geological Society, London, 146, 685–699, https://doi.org/10.1144/gsjgs.146.4.0685
    [Google Scholar]
  42. Nelson, P.H
    . 2004. Permeability–porosity data sets for sandstones. Leading Edge, 23, 1143–1144, https://doi.org/10.1190/1.1813360
    [Google Scholar]
  43. Otsu, N
    . 1979. A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man, and Cybernetics, 9, 62–66, https://doi.org/10.1109/TSMC.1979.4310076
    [Google Scholar]
  44. Page, B., Turan, G. et al.
    2019. Global Status of CCS 2019. Technical Report. Global CCS Institute, Melbourne, Australia, https://www.globalccsinstitute.com/resources/global-status-report/
    [Google Scholar]
  45. Payton, R.L., Fellgett, M., Clark, B., Chiarella, D., Kingdon, A. and Hier-Majumder, S.
    2020. UKGEOS PNM Supporting Data. Royal Holloway University of London. Dataset, https://doi.org/10.17637/rh.13401059.v1
  46. Revil, A., Kessouri, P. and Torres-Verdín, C
    . 2014. Electrical conductivity, induced polarization, and permeability of the Fontainebleau sandstone. Geophysics, 79, D301–D318, https://doi.org/10.1190/geo2014-0036.1
    [Google Scholar]
  47. Song, J. and Zhang, D
    . 2013. Comprehensive review of caprock-sealing mechanisms for geologic carbon sequestration. Environmental Science and Technology, 47, 9–22, https://doi.org/10.1021/es301610p
    [Google Scholar]
  48. Spence, B., Horan, D. and Tucker, O
    . 2014. The Peterhead-goldeneye Gas Post-combustion CCS Project. Energy Procedia, 63, 6258–6266, https://doi.org/10.1016/J.EGYPRO.2014.11.657
    [Google Scholar]
  49. Starcher, V., Shorter, K. et al.
    2019. GGC01 Cored, Seismic Monitoring Borehole – Initial Data Release. British Geological Survey Open Report OR/19/021. British Geological Survey, Nottingham, UK, https://www.ukgeos.ac.uk/data-downloads/glasgow/seismic-borehole-information-pack-initial-release
    [Google Scholar]
  50. Thomson, P.R., Aituar-Zhakupova, A. and Hier-Majumder, S
    . 2018. Image segmentation and analysis of pore network geometry in two natural sandstones. Frontiers in Earth Sciences, 6, 58, https://doi.org/10.3389/feart.2018.00058
    [Google Scholar]
  51. Thomson, P.R., Hazel, A. and Hier-Majumder, S
    . 2019. The influence of microporous cements on the pore network geometry of natural sedimentary rocks. Frontiers in Earth Science, 7, 48, https://doi.org/10.3389/feart.2019.00048
    [Google Scholar]
  52. Thomson, P.R., Ellis, R., Chiarella, D. and Hier-Majumder, S
    . 2020a. Microstructural analysis from X-Ray CT images of the brae formation sandstone, North Sea. Frontiers in Earth Science, 8, 246, https://doi.org/10.3389/feart.2020.00246
    [Google Scholar]
  53. Thomson, P.R., Jefferd, M., Clark, B.L., Chiarella, D., Mitchell, T. and Hier-Majumder, S
    . 2020b. Pore network analysis of brae formation sandstone, North Sea. Marine and Petroleum Geology, 122, 104614, https://doi.org/10.1016/J.MARPETGEO.2020.104614
    [Google Scholar]
  54. Unwin, H.J.T., Wells, G.N. and Woods, A.W
    . 2016. Dissolution in a background hydrological flow. Journal of Fluid Mechanics, 789, 768–784, https://doi.org/10.1017/jfm.2015.752
    [Google Scholar]
  55. Van Geet, M., Lagrou, D. and Swennen, R
    . 2003. Porosity measurements of sedimentary rocks by means of microfocus X-ray computed tomography (μCT). Geological Society, London, Special Publications , 215, 51–60, https://doi.org/10.1144/GSL.SP.2003.215.01.05
    [Google Scholar]
  56. Watson, S.M. and Westaway, R
    . 2020. Borehole temperature log from the Glasgow Geothermal Energy Research Field Site: a record of past changes to ground surface temperature caused by urban development. Scottish Journal of Geology, 56, 134–152, https://doi.org/10.1144/sjg2019-033
    [Google Scholar]
  57. Yale, D.P.
    1984. Network Modelling of Flow, Storage and Deformation in Porous Rocks. PhD thesis, Stanford University, Stanford, California, USA.
    [Google Scholar]
  58. Youssef, S., Rosenberg, E., Gland, N., Kenter, J.A., Skalinski, M. and Vizika, O.
    2007. High resolution CT and pore-network models to assess petrophysical properties of homogeneous and heterogeneous carbonates. Paper SPE-111427 presented at theSPE/EAGE Reservoir Characterization and Simulation Conference, 28–31 October, 2007, Abu Dhabi, UAE, https://doi.org/10.2118/111427-MS
    [Google Scholar]
  59. Zahasky, C., Thomas, D., Matter, J., Maher, K. and Benson, S.M
    . 2018. Multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt. Advances in Water Resources, 121, 235–244, https://doi.org/10.1016/J.ADVWATRES.2018.08.009
    [Google Scholar]
  60. Zhang, D. and Song, J
    . 2014. Mechanisms for geological carbon sequestration. Procedia IUTAM, 10, 319–327, https://doi.org/10.1016/j.piutam.2014.01.027
    [Google Scholar]
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