CO₂ leakage potentials prediction based on geostatistical simulations

We studied the uncertainties in the predictions of supercritical CO ₂ plume behavior and leakage potentials within heterogeneous media. For this purpose, hypothetical heterogeneous field with different geostatistical features were developed. The heterogeneous field represents a weakly non-stationary field, in which the geostatistical patterns of the mid-depth geology are similar. Two conditional non-parametric geostatistical simulation models, the Sequential Indicator Simulation, SISIM, and Generalized Coupled Markov Chain, GCMC, were applied for the stochastic characterizations. Then, predictive CO₂ plume migration simulations based on multiple stochastic realizations were performed and summarized.