Reducing Uncertainties in Model Predictions via History Matching of CO₂ Migration and Reactive Transport Modeling of CO₂ Fate at the Sleipner Project

Technical Report · Mon Jun 01 04:00:00 EDT 2015

DOI:https://doi.org/10.2172/1202196· OSTI ID:1202196

Zhu, Chen ^[1]

---

1. Indiana University, Bloomington, IN (United States); Trustees Of Indiana University

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 University, Bloomington, IN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: FE0004381
• OSTI ID: 1202196
• Country of Publication: United States
• Language: English

Related Subjects

20 FOSSIL-FUELED POWER PLANTS
54 ENVIRONMENTAL SCIENCES
58 GEOSCIENCES