CO2 capillary trapping under varying wettability scenarios

ORAL

Abstract

Geological sequestration involves the injection of CO2 in either (dissolved) gas, liquid, or supercritical phase, into the pore space of subsurface rock formations. The pore space in sedimentary rocks could suffice to store all the CO2 removed from the air, making geological sequestration a promising carbon storage technology. Once there, CO2 can become trapped due to a series of physical and/or chemical mechanisms, some relating directly to the pore scale, such as capillary trapping inside the rock’s microscopic pore channels. In this work, we apply pore-scale flow simulations to the study of CO2 storage in geological formations modeled as a network of connected capillaries with spatially varying radii. Multiphase flow simulations were employed to study the physics behind residual storage by analyzing the infiltration and retention of CO2 inside the capillary network of a porous sandstone rock sample under varying fluid and rock parameters. We found that the conditions for maximum CO2 storage through capillary trapping in a water filled reservoir greatly depends on the fluid interface contact angle and on the applied pressure gradient, followed by the absolute temperature of the reservoir, as it affects the viscosity of the fluids. The fluid interface contact angle is a manifestation of the wettability of the rock and may be modulated with additives in the injected fluid. Our simulation showed that beyond a pressure threshold, a contact angle approaching 90 degrees maximizes the storage of super-critical CO2 as the effect of capillary pressure is minimized, leaving viscosity as the dominant forces limiting the displacement of the resident fluid from the pores.

Publication: "Cloud-based pore-scale simulator for studying carbon dioxide flow in digital rocks". Proceedings of the 16th Greenhouse Gas Control Technologies Conference (GHGT-16) 23-24 Oct 2022, Available at SSRN: https://ssrn.com/abstract=4276744 or http://dx.doi.org/10.2139/ssrn.4276744

"Modeling carbon dioxide trapping at microscopic pore scale with digital rock representations". Proceedings of the SPIE, 12374-14, 2023. https://doi.org/10.1117/12.2650243



Presenters

  • Jaione Tirapu Azpiroz

    IBM Research

Authors

  • Jaione Tirapu Azpiroz

    IBM Research

  • Rodrigo Neumann Barros Ferreira

    IBM Research, IBM Research Brazil

  • Ronaldo Giro

    IBM Research - Brazil

  • Matheus Esteves Ferreira

    ibm research

  • Mathias B Steiner

    IBM Research - Brazil, IBM Research