CCS and Power Systems
Carbon Storage - Geologic Storage Technologies and Simulation and Risk Assessment
Reducing Uncertainties in Model Predictions Via History Matching of CO2 Migration and Reactive Transport Modeling of CO2 Fate at the Sleipner Project, Norwegian North Sea
Performer: Trustees of Indiana University
Project No: FE0004381
A multi-phase flow model was developed and calibrated against the CO2-water contact delineated by the geophysical observation data collected in 1999, 2001, 2002, 2004, 2006, and 2008 (Figures 1 and 2 ). While CO2-water contact was used as the calibration target, predicted gas saturation, thickness of the CO2 accumulation and CO2 solubility in brine are all comparable with interpretations of the seismic data in the literature. The model calculated that ~9 percent of total injected CO2 is dissolved in brine, which is comparable to estimates (5-10 percent) based on seismic data interpretation.
The calibrated model was used for predicting the CO2 plume in 2010, for which data were not released at the time of model calibration. The predicted plume location and size in 2010 agree with the 2010 seismic data (Figure 2).
Project data were run with GEM simulation software and has been verified through TOUGH2 software in order to evaluate prediction calculation. Simulated plume migration history using the two reservoir simulation software gave similar results when the same parameters were used. This verification will help meet the project objective of reducing model uncertainties.
Initiated coupled reactive transport model to evaluate long-term effects on reservoir properties by water-rock interactions, to facilitate the prediction of the fate and transport of CO2 in the subsurface.