The recorded video is uploaded to YouTube, and is available from this
Link.
Due to a technical problem, the talks during the first session of Wednesday were not recorded.
The available slides can be found below:
- 09:00-09:45 Application of ensemble-based methods in reservoir management decision support. Link
- 09:45-10:15 Observability-based ensemble initiation for the EnKF in history matching problems. Link
- 11:00-11:30 Online algorithms for learning data-driven models of chaotic dynamics. Link
- 11:30-12:00 Learning variational DA models and solvers with uncertainty quantification. Link
- 13:00-13:30 Learning neural network-based turbulence models with ensemble Kalman method. Link
- 13:30-14:00 Recurrent application of pseudo ensemble smoother for calibration of channelized reservoirs using convolutional autoencoder. Link
- 14:00-14:30 Deep convolutional generative adversarial network as parameterization method in data assimilation of non-Gaussian fields. Link
- 15:15-15:45 An ensemble Kalman-Bucy filter for correlated observation noise. Link
- 16:00-16:30 Block updating in a band matrix formulation of Bayesian EnKF. Link
- 16:30-17:00 Sampling error in the estimation of observation error covariance matrices using observation-minus-background and observation-minus-analysis statistics. Link
- 18:00-18:30 A sampling method based on the second order Langevin dynamics. Link