Sponsors Meeting Talks 2022

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Amundaray, N., 2022, Well-log parameterized full waveform inversion: CREWES Meeting Talk, 34, no. 14.
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Bertram, K. L., 2022, Upgrading the seismic physical modelling facility: CREWES Meeting Talk, 34, no. 2.
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Cai, X., 2022, Rapid-repeat time-lapse VSP sensing of CO2 injection: CREWES Meeting Talk, 34, no. 6.
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Emery, D. J., 2022, Machine learning mineralogy classification comparison to empirical log relationship and implication for physics informed modeling : CREWES Meeting Talk, 34, no. 24.
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Fontes, P. H. L., 2022, Automatic multiple attenuation using convolutional neural networks and Radon transforms: CREWES Meeting Talk, 34, no. 23.
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Fu, X., 2022, A robust source-independent FWI: CREWES Meeting Talk, 34, no. 7.
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Guarido, M., 2022, Using natural language processing to convert mud-log chip descriptions to usable data tables: CREWES Meeting Talk, 34, no. 25.
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Hall, K. W., 2022, Multicomponent DAS prototype sensors - the pretzel and the croissant: CREWES Meeting Talk, 34, no. 4.
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Hess, S., 2022, Borehole quality insights using Hook load and wavelets: CREWES Meeting Talk, 34, no. 10.
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Hu, Q., 2022, Quantitative FWI characterization and monitoring of reservoir properties at the CaMI.FRS: CREWES Meeting Talk, 34, no. 18.
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Hu, Q., 2022, Time-lapse FWI prediction of CO2 saturation and pore pressure: CREWES Meeting Talk, 34, no. 9.
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Huang, S., 2022, Time-lapse monitoring using a stacked bidirectional long short-term memory neural network: CREWES Meeting Talk, 34, no. 12.
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Innanen, K. A., 2022, Snowflake II: a time-lapse multi-azimuth, multi-offset VSP in support of CO2 monitoring: CREWES Meeting Talk, 34, no. 1.
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Keating, S., 2022, Hypothesis testing in time lapse seismic FWI: CREWES Meeting Talk, 34, no. 15.
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Keating, S., 2022, Multiparameter FWI of ultrasound data: CREWES Meeting Talk, 34, no. 3.
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Lawton, D. C., 2022, Monitoring geological carbon storage: detection threshold at the CaMI Newell County Facility and a look ahead at a sparse monitoring approach for gigatonne scale storage: CREWES Meeting Talk, 34, no. 5.
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Li, J. L., 2022, Simultanous inversion of SWD data for P-wave velocity, density, and source parameters: CREWES Meeting Talk, 34, no. 17.
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Liu, H., 2022, Time lapse full waveform inversion using effective sources: CREWES Meeting Talk, 34, no. 11.
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Lume, M., 2022, Towards optimal FWI parameterization through decorrelation operators: CREWES Meeting Talk, 34, no. 16.
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Monsegny, J. E., 2022, Solving geophysical inverse problems with quantum computing: CREWES Meeting Talk, 34, no. 27.
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Qu, L., 2022, Incorporating data covariance in elastic FWI with an auto-regressive process: CREWES Meeting Talk, 34, no. 19.
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Russell, B. H., 2022, The dual representation and its application to seismic reservoir analysis: CREWES Meeting Talk, 34, no. 28.
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Stewart, R. R., 2022, The new 4H Club – hydrogen, helium, heat, and hazards: CREWES Meeting Talk, 34, no. 13.
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Su, Z., 2022, Common image gathers from blended data: CREWES Meeting Talk, 34, no. 22.
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Trad, D. O., 2022, Combining classical processing with deep learning: CREWES Meeting Talk, 34, no. 21.
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Wang, Y., 2022, Time lapse attenuation-attribute variations using DAS VSP data from the CaMI FRS: CREWES Meeting Talk, 34, no. 8.
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Zhang, T., 2022, Elastic FWI uncertainty analysis via conventional and ML methods: CREWES Meeting Talk, 34, no. 20.
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Zhuang, K., 2022, Application of GPU parallelization for non-uniform Fourier interpolation: CREWES Meeting Talk, 34, no. 26.
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