Sponsors Meeting Talks 2023
Bertram, K. L., 2023, Preparing the physical modeling facility to simulate injection/storage of fluids and gases in complex structures: CREWES Meeting Talk, 35, no. 2.
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Cai, X., 2023, 3D time-lapse RTM of data from the Snowflake 2018-2022 experiments: CREWES Meeting Talk, 35, no. 11.
Chineke, C., 2023, Direct measurement of frequency-dependent phase velocities from the Snowflake VSP data: CREWES Meeting Talk, 35, no. 3.
Emery, D. J., 2023, Stratigraphically-consistent seismic profiles for geologically-informed machine learning interpretation: CREWES Meeting Talk, 35, no. 26.
Fontes, P. H. L., 2023, A machine learning alternative to sparseness: CREWES Meeting Talk, 35, no. 25.
Hall, K. W., 2023, Multicomponent DAS sensing: smaller sensors and field testing: CREWES Meeting Talk, 35, no. 1.
Hess, S., 2023, Downhole drillstring vibration and bit source modelling: CREWES Meeting Talk, 35, no. 8.
Hu, Q., 2023, Estimation of rock physics properties via FWI of VSP data recorded by accelerometer and fiberoptic sensors: CREWES Meeting Talk, 35, no. 19.
Hu, Q., 2023, Uncertainty quantification in rock physics full waveform inversion: CREWES Meeting Talk, 35, no. 16.
Innanen, K. A., 2023, New mathematical tools to parameterize and simplify sparse monitoring with full waveform inversion: CREWES Meeting Talk, 35, no. 6.
Ji, H., 2023, 3D FWI of the CREWES Snowflake I and II VSP data: CREWES Meeting Talk, 35, no. 17.
Kolkman-Quinn, B., 2023, Sparse seismic monitoring at CMC Newell County CO2 storage facility: CREWES Meeting Talk, 35, no. 5.
Lauer, R., 2023, Discovering the deep: geophysical tools for identifying biodiversity hotspots in the deep ocean: CREWES Meeting Talk, 35, no. 14.
Li, J., 2023, Robust seismic data denoising with recorrupted-to-recorrupted zero-shot unsupervised deep learning: CREWES Meeting Talk, 35, no. 22.
Li, J. L., 2023, Hamiltonian Monte Carlo methods for uncertainty quantification in waveform inversion: CREWES Meeting Talk, 35, no. 15.
Liu, H., 2023, Time-lapse inversion using the FD-injection method: CREWES Meeting Talk, 35, no. 12.
Monsegny, J. E., 2023, Time-lapse data shaping with transformer encoder neural networks: CREWES Meeting Talk, 35, no. 27.
Moradi, S., 2023, Quantum solutions for energy and environmental challenges: CREWES Meeting Talk, 35, no. 13.
Pike, K., 2023, Targeted nullspace shuttles for full waveform time-lapse seismic monitoring and CO2 detection thresholds: CREWES Meeting Talk, 35, no. 10.
Qu, L., 2023, Advanced CO2 interpretation from 4D Sleipner seismic images using transformers: CREWES Meeting Talk, 35, no. 21.
Russell, B. H., 2023, Repeatability indicators in time lapse seismology and their application to the Sleipner CO2 storage project: CREWES Meeting Talk, 35, no. 28.
Shor, R., 2023, Geothermal initiatives at the University of Calgary: CREWES Meeting Talk, 35, no. 7.
Su, Z., 2023, Simultaneous prediction of velocity and angle-dependent reflectivity in time domain FWI: CREWES Meeting Talk, 35, no. 18.
Trad, D. O., 2023, Towards realistic imaging and testing of full waveform inversion algorithms: CREWES Meeting Talk, 35, no. 20.
Zhang, T., 2023, Clifford neural operators as a tool to learn and describe elastic wavefield displacements: CREWES Meeting Talk, 35, no. 24.
Zhang, T., 2023, Implicit elastic full waveform inversion: application to the Snowflake dataset: CREWES Meeting Talk, 35, no. 9.
Zhuang, K., 2023, Methods for and high performance computing optimizations of 5D interpolation: CREWES Meeting Talk, 35, no. 23.