Reducing Uncertainties in Model Predictions via History Matching of CO2 Migration and Reactive Transport Modeling of CO2 Fate at the Sleipner Project
- Indiana University, Bloomington, IN (United States)
An important question for the Carbon Capture, Storage, and Utility program is “can we adequately predict the CO2 plume migration?” For tracking CO2 plume development, the Sleipner project in the Norwegian North Sea provides more time-lapse seismic monitoring data than any other sites, but significant uncertainties still exist for some of the reservoir parameters. In Part I, we assessed model uncertainties by applying 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 for the site from 1999 to 2010. Approximate match with the observed plume was achieved by introducing lateral permeability anisotropy, adding CH4 into the CO2 stream, and adjusting the reservoir temperatures. Model-predicted gas saturation, CO2 accumulation thickness, and CO2 solubility in brine—none were used as calibration metrics—were all comparable with the interpretations of the seismic data in the literature.
- Research Organization:
- Indiana Univ., Bloomington, IN (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- FE0004381
- OSTI ID:
- 1202196
- Country of Publication:
- United States
- Language:
- English
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