Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Chemical Engineering...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Chemical Engineering Research and Design
Article . 2006 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
versions View all 1 versions
addClaim

Simulation of CO2 Storage In Saline Aquifers

Authors: S. Ghanbari; Y. Al-Zaabi; G.E. Pickup; E. Mackay; F. Gozalpour; A.C. Todd;

Simulation of CO2 Storage In Saline Aquifers

Abstract

This paper evaluates key parameters in CO 2 storage in saline aquifers. A reservoir simulator was used to simulate 30 years of CO 2 injection followed by 470 years of shut in. Two retention mechanisms were modelled: hydrodynamic and solubility trapping. Solubility trapping was found to be the most important means for storing CO 2 . This effect was enhanced by the creation of convective flow patterns which lead to a greater dissolution of CO 2 . Tests were carried out on a homogeneous model, and the effects of CO 2 diffusion in brine, vertical to horizontal permeability ratio, residual saturations, salinity and injection well completion interval were investigated. Results were compared with those from other studies to develop a more general understanding of factors affecting CO 2 storage. To increase the realism of this study, the effect of geological heterogeneity was also examined. Three types of heterogeneity were investigated: low level random variations in sandstone permeability, stochastic shale layers and a fault. The low level heterogeneity did not have a large effect, although it distorted the convective pattern, while the presence of shales did have a large effect. CO 2 tends to become trapped beneath the shale layers increasing the lateral migration. The amount of dissolved CO 2 was largest in the models with an intermediate amount of shale. It was found that the fault did not affect the pressure distribution in the aquifer, unless the transmissibility was very low. However, the distribution of CO 2 was affected by the location of the well relative to the fault.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    53
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
53
Top 10%
Top 10%
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!