Hess, S., 2022, Downhole Accelerometer Data: CREWES Friday Talk, no. 12.
Trad, D. O., Monsegny, J. E., Huang, S., Sanchez, I., Zhuang, K., and Fontes, P. H. L., 2022, Combining classical processing with Machine Learning: CREWES Friday Talk, no. 11.
Zhang, T., Sun, J., Trad, D. O., and Innanen, K. A., 2022, The uncertainty analysis in implicit full waveform inversion: CREWES Friday Talk, no. 10.
Wang, Y., and Lawton, D. C., 2022, Attenuation measurement using DAS VSP data at the CaMI Field Research Station: CREWES Friday Talk, no. 09.
Hu, Q., and Innanen, K. A., 2022, Baresian approaches to estimating rock physics properties from seismic attributes: CREWES Friday Talk, no. 08.
Sadownyk, L. S., Guarido, M., Zeinabady, D., Sarvaramini, E., Zhang, Z., Tabasinejad, F., Salari, H., Innanen, K. A., and Clarkson, C. R., 2022, Applications of Machine Learning for DFIT Interpretation Optimization: CREWES Friday Talk, no. 07.
Kolkman-Quinn, B., 2022, Addressing noise in DAS time-lapse VSP data from the CaMI Field Research Station: CREWES Friday Talk, no. 06.
Qu, L., Fu, X., Keating, S., and Innanen, K. A., 2022, Misfit modification in FWI to avoid the influence of remnant noises: CREWES Friday Talk, no. 05.
Monsegny, J. E., 2022, Geophysical Inverse Problem with Quantum Computing: CREWES Friday Talk, no. 04.
Huang, S., and Trad, D. O., 2022, Considerations on a convolutional neural network-based reverse time migration with multiples: CREWES Friday Talk, no. 03.
Cai, X., 2022, Mesh free seismic modeling and RTM with surface topography: CREWES Friday Talk, no. 02.
Su, Z., and Trad, D. O., 2022, Angle domain common image gathers and blended acquisition: CREWES Friday Talk, no. 01.