Friday Meeting Talks 2026
Trad, D. O., and Sanchez, I., 2026, Modelling, RTM and FWI: 3D Elastic modules from topography: CREWES Friday Talk, no. 11.
Video
Emery, D. J., 2026, Seismic Stratigraphy, Termination interpretation, Waveform analysis (Facies) and recon AVO using Machine Learning (Automating seismic interpretation in the Jeanne d'Arc Basin of NL, a view of my PhD research): CREWES Friday Talk, no. 10.
Ziegon, A. H., and Innanen, K. A., 2026, Trans-dimensional regularization (TDR) A Pseudo-3D FWI example: CREWES Friday Talk, no. 09.
Cai, X., and Innanen, K. A., 2026, A preliminary exploration of surrogate model for elastic wave forward simulation and its application to FWI: CREWES Friday Talk, no. 08.
Li, J. L., Sanchez, I., and Innanen, K. A., 2026, Quantifying conceptual uncertainty in surface-wave inversion using trans-conceptual Bayesian inference: CREWES Friday Talk, no. 07.
Sanchez, I., and Trad, D. O., 2026, Finite-differencein orthogonal curvilinear coordinates for elastodynamic modeling: CREWES Friday Talk, no. 06.
Zhuang, K., 2026, Multigrid approach to optimizing Fast marching Tomography: CREWES Friday Talk, no. 05.
Jiang, X., 2026, Hierarchical Bayesian Full-Waveform Inversion of CO2 Plume Boundary Delinieation and Uncertainty Assessment Automatic Model Order Optimization via ARD and TV-Regularized B-Splines: CREWES Friday Talk, no. 04.
Mohammadi, A. K., Malcolm, A., and Farquharson, C., 2026, Bayesian full waveform inversion using an asymptotically exact deep learning surrogate model: CREWES Friday Talk, no. 03.
Entezar-Saadat, V., 2026, A Seismic-CSEM Workflow for CO2 Plume Monitoring: Quantifying Uncertainties in Probabilistic Geometry Reconstruction and Deterministic Saturation Imaging: CREWES Friday Talk, no. 02.
Guarido, M., 2026, Linear Programming for Production Optimization: CREWES Friday Talk, no. 01.