Friday Meeting Talks 2024
Ziegon, A. H., and Innanen, K. A., 2024, Model entropy constraints in FWI: CREWES Friday Talk, no. 14.
Sanchez, I., Trad, D. O., Agudelo, W. M., and Sierra, D., 2024, Polarization analysis and filtering in the frequency-slowness domain: CREWES Friday Talk, no. 13.
Chineke, C., and Innanen, K. A., 2024, Direct measurement of frequency-dependent phase velocity and seismic attenuation from Snowflake dataset: CREWES Friday Talk, no. 12.
Zhuang, K., and Trad, D. O., 2024, Simultaneous Deblending and Interpolation using sparse Radon: CREWES Friday Talk, no. 11.
Li, J. L., and Innanen, K. A., 2024, Hamiltonian Monte Carlo based FWI: a VSP feasibility study for CO2 monitoring: CREWES Friday Talk, no. 10.
Monsegny, J. E., Lawton, D. C., and Trad, D. O., 2024, Ground roll attenuation by Deep Learning in the Radon transform domain: CREWES Friday Talk, no. 9.
Fontes, P. H. L., and Trad, D. O., 2024, Ground roll attenuation by Deep Learning in the Radon transform domain: CREWES Friday Talk, no. 8.
Cai, X., Innanen, K. A., and Su, Z., 2024, 3D time-lapse DAS data processing and imaging analysis: The Example of Snowflake data: CREWES Friday Talk, no. 7.
Trad, D. O., Zhang, T., Sanchez, I., and Li, J. L., 2024, Trends in FWI computation: CREWES Friday Talk, no. 6.
Ji, H., Oh, J., and Innanen, K. A., 2024, The FWI strategies for time-lapse monitoring of the Snowflake VSP dataset: CREWES Friday Talk, no. 5.
Guarido, M., and Innanen, K. A., 2024, What are Transformers in LLM and Can They Be Useful to Geosicence: CREWES Friday Talk, no. 4.
Zhang, T., Innanen, K. A., and Trad, D. O., 2024, Modeling error evaluaation for viscoelastic full waverform inversion: CREWES Friday Talk, no. 3.
Liu, H., Trad, D. O., and Innanen, K. A., 2024, Timelapse full waveform inversion of the Snowflake VSP data: CREWES Friday Talk, no. 2.
Li, J., and Trad, D. O., 2024, Robust unsupervised 5D seismic data reconstruction on both regular and irregular grid: CREWES Friday Talk, no. 1.