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Relative permeability for water and gas through fractures in cement

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  • Kenton A Rod
  • Wooyong Um
  • Sean M Colby
  • Mark L Rockhold
  • Christopher E Strickland
  • Sangsoo Han
  • Andrew P Kuprat

Abstract

Relative permeability is an important attribute influencing subsurface multiphase flow. Characterization of relative permeability is necessary to support activities such as carbon sequestration, geothermal energy production, and oil and gas exploration. Previous research efforts have largely neglected the relative permeability of wellbore cement used to seal well bores where risks of leak are significant. Therefore this study was performed to evaluate fracturing on permeability and relative permeability of wellbore cement. Studies of relative permeability of water and air were conducted using ordinary Portland cement paste cylinders having fracture networks that exhibited a range of permeability values. The measured relative permeability was compared with three models, 1) Corey-curve, often used for modeling relative permeability in porous media, 2) X-curve, commonly used to represent relative permeability of fractures, and 3) Burdine model based on fitting the Brooks-Corey function to fracture saturation-pressure data inferred from x-ray computed tomography (XCT) derived aperture distribution results. Experimentally-determined aqueous relative permeability was best described by the Burdine model. Though water phase tended to follow the Corey-curve for the simple fracture system while air relative permeability was best described by the X-curve.

Suggested Citation

  • Kenton A Rod & Wooyong Um & Sean M Colby & Mark L Rockhold & Christopher E Strickland & Sangsoo Han & Andrew P Kuprat, 2019. "Relative permeability for water and gas through fractures in cement," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-17, January.
    • Handle: RePEc:plo:pone00:0210741
    DOI: 10.1371/journal.pone.0210741
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    1. Piñeiro, Gervasio & Perelman, Susana & Guerschman, Juan P. & Paruelo, José M., 2008. "How to evaluate models: Observed vs. predicted or predicted vs. observed?," Ecological Modelling, Elsevier, vol. 216(3), pages 316-322.
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