uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
A simulation study of the effect of trapping model, geological heterogeneity and injection strategies on CO2 trapping
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL. Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Energy Geosci Div, 1 Cyclotron Rd, Berkeley, CA 94720 USA..
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
2016 (English)In: International Journal of Greenhouse Gas Control, ISSN 1750-5836, E-ISSN 1878-0148, Vol. 52, 52-72 p.Article in journal (Refereed) Published
Abstract [en]

Industrial CO2 emissions to the atmosphere can be reduced through geological storage, where the gas is injected into the subsurface and trapped by several mechanisms. Residual and solubility trapping are two important processes providing trapping, and their effectiveness ultimately determines the feasibility of geological storage. By means of numerical modeling, a systematic analysis was made concerning the factors potentially affecting trapping, to guide the planned injection experiments at the Heletz test injection site. The effect of enhanced-trapping injection strategies along with the role of geological heterogeneity and the choice of trapping model (TM) were evaluated. The results showed that adding chase-fluid stages to a conventional CO2 injection enhanced the trapping. Taking into account the geological heterogeneity decreased trapping, as this retarded the buoyant migration, resulting in less imbibition and residual trapping. The choice of TM was significant, with the simplified Land TM producing the highest trapping, and the Aissaoui TM the lowest. The results stress the importance of using an appropriate TM as well as heterogeneity model for the site in question for any predictive modeling of CO2 sequestration, as different assumptions may lead to significant discrepancies in the predicted trapping.

Place, publisher, year, edition, pages
2016. Vol. 52, 52-72 p.
Keyword [en]
CCS, Capillary trapping, Hysteresis, Injection strategies, Residual trapping, Solubility trapping
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:uu:diva-303260DOI: 10.1016/j.ijggc.2016.06.020ISI: 000381728300006OAI: oai:DiVA.org:uu-303260DiVA: diva2:971497
Funder
EU, FP7, Seventh Framework Programme, 227286; 309067
Available from: 2016-09-16 Created: 2016-09-15 Last updated: 2016-09-16Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Rasmusson, KristinaRasmusson, MariaTsang, YvonneNiemi, Auli
By organisation
LUVAL
In the same journal
International Journal of Greenhouse Gas Control
Earth and Related Environmental Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 3 hits
ReferencesLink to record
Permanent link

Direct link