Friday Meeting Talks 2023
Cai, X., Innanen, K. A., Eaid, M., Keating, S., and Lawton, D. C., 2023, Full waveform inversion of fiber-optic and accelerometer VSP data from two lines of the 2018 CaMI VSP survey: CREWES Friday Talk, no. 11.
Video
Innanen, K. A., 2023, Targeted null-space shuttles: An approach to quantifying uncertainty in FWI: CREWES Friday Talk, no. 10.
Lume, M., Keating, S., and Innanen, K. A., 2023, Using Simulated Annealing to find constrained re-parameterization for FWI: CREWES Friday Talk, no. 9.
Fontes, P. H. L., and Trad, D. O., 2023, Hyperbolic and Parabolic Radon transforms applied to U-Net multiple prediction: CREWES Friday Talk, no. 8.
Zhuang, K., and Trad, D. O., 2023, An initial look into OBN deblending using the Stolt Radon transform: CREWES Friday Talk, no. 7.
Trad, D. O., 2023, Combining Transforms and Machine Learning: CREWES Friday Talk, no. 6.
Monsegny, J. E., Lawton, D. C., and Trad, D. O., 2023, Time-lapse VSP-DAS shaping with neural networks at CaMI FRS: CREWES Friday Talk, no. 5.
Hu, Q., and Innanen, K. A., 2023, Elastic FWI with probabilistic model constraints (video unavailable): CREWES Friday Talk, no. 4.
Qu, L., and Innanen, K. A., 2023, Ground-roll attenuation using Convolutional Neural Network: CREWES Friday Talk, no. 3.
Liu, H., Trad, D. O., and Innanen, K. A., 2023, Time-lapse data modelling using the FD injection method: CREWES Friday Talk, no. 1.
Innanen, K. A., and Zhang, T., 2023, The influence of prior model covariance matrix on FWI uncertainty quantification: CREWES Friday Talk, no. 1.