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Numerical modelling of CO2 injection at small-scale field experimental site in Maguelone, France
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 Montpellier 2, Geosci Montpellier CNRS UMR 5243, Cc 060 Bat 22,Pl Eugene Bataillon, F-34095 Montpellier 05, France..
Univ Montpellier 2, Geosci Montpellier CNRS UMR 5243, Cc 060 Bat 22,Pl Eugene Bataillon, F-34095 Montpellier 05, France..
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2016 (English)In: International Journal of Greenhouse Gas Control, ISSN 1750-5836, E-ISSN 1878-0148, Vol. 54, 200-210 p.Article in journal (Refereed) Published
Abstract [en]

To evaluate the performance of downhole and surface geophysical monitoring methods, a series of shallow gas injection-monitoring experiments has been performed in a coastal saline aquifer at Maguelone, France. The recorded data include pressure measurements with a Westbay multilevel completion and CO2 saturation at an observation well derived from electrical resistivity with a modified Waxman-Smits (MWS) model. In this work, the aim is to develop a simulation model capturing the gas transport behavior and consistent with field data. For this purpose, the simulation of the CO2 injection experiment is carried out with two conceptual models, a homogeneous model and a heterogeneous model treated with multiple realization Monte Carlo simulations. Numerical simulator TOUGH2 with the equation of state module EOS7C is used for the simulations. Comparison of the model results with field data suggests that the pressure responses are captured with relatively good accuracy. Similarly, the model also provides an overall reasonable agreement and correct order of magnitude for predicted gas saturation values. However, as the heterogeneity pattern in the field data remains largely unknown, the model predictions can only be used to capture the mean behavior as well as to provide insights into how heterogeneity can influence the system behavior, by means of sensitivity analyses of the influence of heterogeneities on individual realizations.

Place, publisher, year, edition, pages
2016. Vol. 54, 200-210 p.
Keyword [en]
CO2 storage, CO2 injection, Shallow aquifer, Downhole and pressure monitoring, Numerical simulation, Heterogeneity, Electrical resistivity, Downhole geophysical monitoring
National Category
Geosciences, Multidisciplinary
Identifiers
URN: urn:nbn:se:uu:diva-311204DOI: 10.1016/j.ijggc.2016.09.006ISI: 000387781500015OAI: oai:DiVA.org:uu-311204DiVA: diva2:1059036
Funder
EU, FP7, Seventh Framework Programme, 227286 309367
Available from: 2016-12-22 Created: 2016-12-22 Last updated: 2016-12-22Bibliographically approved

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Basirat, FarzadFagerlund, FritjofNiemi, Auli
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