Friday Meeting Talks 2023
Hess, S., Shor, R., Vetsak, A., and Innanen, K. A., 2023, Downhole acceleration detection of poor drilling performance related to bit damage: CREWES Friday Talk, no. 22.
Video
Li, J. L., and Innanen, K. A., 2023, Hamiltonian Monte Carlo methods for uncertainty quantification in waveform inversion: CREWES Friday Talk, no. 21.
Su, Z., and Trad, D. O., 2023, Simultaneous prediction of velocity and angle-dependent reflectivity in time domain FWI: CREWES Friday Talk, no. 20.
Pike, K., and Innanen, K. A., 2023, Time-Lapse nullspace Shuttles Revisited - Snowflake Examples: CREWES Friday Talk, no. 19.
Chineke, C., and Innanen, K. A., 2023, Direct measurement of frequency-dependent phase velocities from Snowflake data: CREWES Friday Talk, no. 18.
Zhuang, K., and Trad, D. O., 2023, Challenges of GPU acceleration of non-uniform DFT 5D interpolation: CREWES Friday Talk, no. 17.
Ji, H., 2023, Research on the application of two-step monitoring using DAF technique for improving the accuracy of time-lapse monitoring: CREWES Friday Talk, no. 16.
Innanen, K. A., 2023, The adjoint state method and why the method of Lagrange multipliers works: CREWES Friday Talk, no. 15.
Bertram, K. L., Wong, J., Trad, D. O., and Hall, K. W., 2023, Recent activity in physical modelling: CREWES Friday Talk, no. 14.
Hu, Q., Eaid, M., Keating, S., Cai, X., and Innanen, K. A., 2023, FWI prediction of rock physics properties at the CMC Newell County Facility: CREWES Friday Talk, no. 13.
Emery, D. J., and Trad, D. O., 2023, Creation of a Stratigraphical Consistent Seismic Profile for Geologically Informed Machine Learning Interpretation: CREWES Friday Talk, no. 12.
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.
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.