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Benchmark modeling of the Sleipner CO2 plume: Calibration to seismic data for the uppermost layer and model sensitivity analysis
Department of Geological Sciences, Indiana University, Indiana University, Department of Geological Sciences, Bloomington.
Indiana University, Department of Geological Sciences, Bloomington.
Indiana University, Department of Geological Sciences, Bloomington.
Department of Earth Sciences, Zhejiang University, Hangzhou.
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2015 (English)In: International Journal of Greenhouse Gas Control, ISSN 1750-5836, E-ISSN 1878-0148, Vol. 43, p. 233-246Article in journal (Refereed) Published
Abstract [en]

An important question for the Carbon Capture, Storage, and Utility program is “can we adequately predict the CO2 plume migration?” The Sleipner project in the Norwegian North Sea provides more time-lapse seismic monitoring data than any other sites for tracking CO2 plume development, but significant uncertainties still exist for some reservoir parameters. In order to simulate CO2 plume migration and assess model uncertainties, we applied two multi-phase compositional simulators to the Sleipner Benchmark model for the uppermost layer (Layer 9) of the Utsira Sand and calibrated our model against the time-lapsed seismic monitoring data at the site from 1999 to 2010. Approximate match with the observed plume was achieved by introducing lateral permeability anisotropy, CH4 in the CO2 stream, and adjusting reservoir temperatures. Model-predicted gas saturation, thickness of the CO2 accumulation, and CO2 solubility in brine – none of them used as calibration metrics – were all comparable with interpretations of the seismic data in the literature.Hundreds of simulations of parameter sensitivity (pressure, temperature, feeders, spill rates, relative permeability curves, and CH4) showed that simulated plume extents are sensitive to permeability anisotropy, temperature, and CH4 but not sensitive to the other analyzed parameters. However, adjusting a single parameter within the reported range of values would not reproduce the north–south trending CO2 plume. It took a combination of permeability, CH4, and temperature adjustments to match simulated CO2 plume with seismic monitoring data. On the other hand, even with a range of uncertain modeling parameters, the predicted fate of CO2 fell within a narrow band, ∼93 ± 2% structural/hydrodynamic trapping and ∼7 ± 2% solubility trapping. The calibrated model is not unique. Other possibilities for reproducing the elongated plume such as a slight tilting of the caprock surface to the south and subtle geological features in the Layer 9 were not experimented with in this study, but are worthy of exploration for future studies. While it appears that we were able to reproduce the north–south elongated CO2 plume, which is a modest improvement over previous models, the adjustments of parameters need to be verified with new observations.

Place, publisher, year, edition, pages
2015. Vol. 43, p. 233-246
National Category
Energy Engineering
Research subject
Energy Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-8705DOI: 10.1016/j.ijggc.2014.12.016ISI: 000367110200023Scopus ID: 2-s2.0-84946487384Local ID: 73d1ec63-3c3e-41fa-9208-d385b00508ceOAI: oai:DiVA.org:ltu-8705DiVA, id: diva2:981643
Note
Validerad; 2016; Nivå 2; 20150122 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Ji, Xiaoyan

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