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Pore-scale bubble population dynamics of CO2-foam at reservoir pressure

Abstract

The flow of CO2 foam for mobility control in porous media is dictated by the foam texture, or bubble density, which is commonly expressed as the number of bubbles per unit of flowing gas. In most high-pressure laboratory studies of foam in porous media, the local foam texture cannot be determined due to opaque flow systems. Here, we unlock real-time foam texture dynamics at high pressure (100 bar) by utilizing a realistic pore network with an extended field of view. We identified snap-off as the dominant foam generation mechanism, with additional fining of foam texture caused by backward foam propagation. Foam coalescence during continuous CO2 injection resulted in large gas channels parallel to the general flow direction that reduced the overall foam apparent viscosity. A large fraction of the CO2 foam remained trapped (X⁻t > 0.97) and stationary in pores to divert CO2 flow and increase sweep efficiency. The gas mobility was calculated from the fraction of trapped bubbles at the pore-scale, and the apparent foam viscosity agreed with similar injection test performed at core-scale. Hence, improved understanding of CO2 foam texture evolution (n⁻f) can strengthen the validation of numerical foam models for upscaling of flow phenomena, instrumental in the development of field scale implementation of CO2 foam for in carbon utilization and storage applications.
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Category

Academic article

Client

  • Research Council of Norway (RCN) / 268216
  • Research Council of Norway (RCN) / 294886
  • Research Council of Norway (RCN) / 249742
  • Research Council of Norway (RCN) / 301201

Language

English

Author(s)

  • Benyamine Benali
  • Tore Lyngås Føyen
  • Zachary Paul Alcorn
  • Malin Haugen
  • Jarand Gauteplass
  • Anthony R. Kovscek
  • Martin Fernø

Affiliation

  • University of Bergen
  • SINTEF Industry / Applied Geoscience
  • Stanford University

Year

2022

Published in

International Journal of Greenhouse Gas Control

ISSN

1750-5836

Publisher

Elsevier

Volume

114

Page(s)

1 - 11

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