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A Stochastic Model for Interpreting the Partitioning Tracer Recovery from Residual Trapping Experiment at Heletz, Israel, Pilot Injection Site
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL. Uppsala University. (Hydrogeology/Hydrology)
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.
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2019 (English)Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Residual trapping is one of the key trapping mechanisms for geological storage of CO2. While relatively abundant experimental data exists on laboratory cores, only very few experiments have attempted to address this parameter in the field. As part of the experimental program at Heletz, Israel, pilot CO2 injection site (Niemi et al. 2012, 2016), two small-scale push-pull CO2 injection experiments were carried out to determine residual trapping in-situ (Niemi et al. 2012). In the second one of these experiments, carried out in 2017, the main method for characterizing the residual trapping was injection of partitioning tracer Krypton before and after creating the residually trapped zone. This paper presents one of the model interpretations of the tracer experiment, by assuming a stochastically heterogeneous interpretation of the properties of the storage reservoir. Based on field data on layer properties, heterogeneous models are generated using geostatistical library GSLIB (Finsterle and Kowalsky 2007) and multiple realization Monte Carlo simulations of the experiment test sequence are carried out using the simulator iTOUGH with the equation of state modules EOS7C/ECO2N (Pruess 2005: Oldenburg et al. 2004). Effect of heterogeneity characteristics on simulated tracer recovery is analyzed and compared to that from the field data. The results provide us a better understanding on how heterogeneity effects can influence partitioning tracer behavior and its partitioning into trapped CO2.

Place, publisher, year, edition, pages
2019.
Keywords [en]
Geological CO2 storage, residual trapping, partitioning tracers, heterogeneity, MonteCarlo simulation
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:uu:diva-400088OAI: oai:DiVA.org:uu-400088DiVA, id: diva2:1383042
Conference
EGU General Assembly 2019, 7–12 April 2019, Vienna, Austria
Available from: 2020-01-07 Created: 2020-01-07 Last updated: 2020-03-12Bibliographically approved

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https://meetingorganizer.copernicus.org/EGU2019/EGU2019-10178.pdf

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Moghadasi, RaminJoodaki, SabaBasirat, FarzadFagerlund, FritjofNiemi, Auli
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LUVAL
Earth and Related Environmental Sciences

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