Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference
| Title | Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference |
| Publication Type | Conference |
| Year of Publication | 2023 |
| Authors | Ting-ying Yu, Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, Mathias Louboutin, Felix J. Herrmann |
| Conference Name | International Meeting for Applied Geoscience and Energy |
| Month | 08 |
| Keywords | Bayesian inference, CCS, deep learning, Imaging, monitoring, SEG, Uncertainty quantification |
| Abstract | To monitor and predict CO2 plume dynamics during geological carbon storage, reservoir engineers usually perform two-phase flow simulations. While these simulations may provide useful insights, their usefulness is limited due to numerous complicating factors including uncertainty in the dynamics of the plume itself. To study this phenomenon, we consider stochasticity in the dynamic caused by unknown random changes in the injection rate. By conditioning the CO2 plume predictions on seismic observations, we correct the CO2 plume predictions and quantify uncertainty with machine learning. |
| Notes | (IMAGE, Houston) |
| URL | https://slimgroup.github.io/IMAGE2023/SequentialBayes/abstract.html |
| Presentation | |
| Citation Key | yu2023IMAGEmsc |