Franklin Baafi

Risk-Informed Corrosion Prediction for Supercritical CO2 Pipelines Using Nonlinear Machine Learning and Monte Carlo Uncertainty Propagation

The integrity of Supercritical CO2 (SC-CO2) transport pipelines is threatened by the high temperature–pressure operating conditions, the presence of moisture, and aggressive impurities such as acids, alkalines, salts, O2, SO2, H2S, and NO2. For this reason, this environment gives rise to highly nonlinear and synergis...