Acosta, C., 2024, Geometrical model for the &lquot;Croissant&rquot; 6C multi-component DAS sensor : CREWES Meeting Talk, 36, no. 3.
Bertram, K. L., 2024, Physical modelling over a fluid injection model: 4D acquisition and preliminary analysis: CREWES Meeting Talk, 36, no. 1.
Cai, X., 2024, Simultaneous inversion for velocity and vector reflectivity based on a Recurrent Neural Network: CREWES Meeting Talk, 36, no. 10.
Emery, D. J., 2024, Stratigraphy and its influence on seismic waveforms: CREWES Meeting Talk, 36, no. 24.
Guarido, M., 2024, Creating a CREWES geophysical chatgpt copilot: CREWES Meeting Talk, 36, no. 14.
Guarido, M., 2024, Intelligence chat copilot app for well-log processing and analysis: CREWES Meeting Talk, 36, no. 23.
Hall, K. W., 2024, 9C DAS acquisition on the Pretzel and Croissant multi-component sensors: CREWES Meeting Talk, 36, no. 4.
Hernández, A. R., 2024, Using Fourier Neural Operators to generate multi-resolution seismic wavefields: CREWES Meeting Talk, 36, no. 26.
Innanen, K. A., 2024, Programming an Ising computer for seismic tomography: CREWES Meeting Talk, 36, no. 9.
Karpiah, A., 2024, Mapping Distributed Acoustic Sensing (DAS) fiber depths with a transformer model: CREWES Meeting Talk, 36, no. 6.
Lawton, D. C., 2024, CO2 monitoring at the CMC Newell County Facility: update and progress: CREWES Meeting Talk, 36, no. 8.
Li, J., 2024, Seismic data denoising through a diffusion model: CREWES Meeting Talk, 36, no. 22.
Li, J., 2024, Unsupervised DAS noise attenuation via double INR networks: CREWES Meeting Talk, 36, no. 5.
Li, J. L., 2024, 4D synthetic time-lapse FWI experiments for CO2 monitoring configured for the Snowflake dataset: CREWES Meeting Talk, 36, no. 15.
Li, J. L., 2024, Hamiltonian Monte Carlo and Stein Variational Gradient Descent in the context of timelapse VSP: CREWES Meeting Talk, 36, no. 19.
Liu, H., 2024, Time-lapse FWI of the Snowflake VSP data: CREWES Meeting Talk, 36, no. 13.
Perrin, R., 2024, Analyzing varying fault offset rates on the Juan de Fuca plate using cross-correlation: CREWES Meeting Talk, 36, no. 27.
Pike, K., 2024, Time-lapse nullspace shuttles: VSP vs surface acquisition, shuttling to zero, and sparse monitoring prospects: CREWES Meeting Talk, 36, no. 7.
Russell, B. H., 2024, Boolean logic and machine learning: CREWES Meeting Talk, 36, no. 28.
Sanchez, I., 2024, Surface wave dispersion analysis and inversion from 3D complex land seismic exploration data: CREWES Meeting Talk, 36, no. 16.
Schumacher, C., 2024, Optimizing seismic survey design for FWI: a study using physical modelling data and an industry software package: CREWES Meeting Talk, 36, no. 2.
Su, Z., 2024, Time domain FWI imaging in acoustic variable-density media: CREWES Meeting Talk, 36, no. 20.
Trad, D. O., 2024, Computational frameworks for modelling, migration and inversion: CREWES Meeting Talk, 36, no. 21.
Zhang, T., 2024, 3D time domain RNN-based FWI with an effective boundary method: CREWES Meeting Talk, 36, no. 17.
Zhang, T., 2024, A comparison of FWI uncertainty quantification methods: conventional versus machine learning : CREWES Meeting Talk, 36, no. 25.
Zhang, T., 2024, Neural networks for multiphysics inversion: CREWES Meeting Talk, 36, no. 11.
Ziegon, A. H., 2024, Model entropy constraints in multi-parameter FWI: a promising tool for timelapse FWI: CREWES Meeting Talk, 36, no. 12.
Ziegon, A. H., 2024, Pseudo-3D elastic FWI: structurally-coupled inversions of intersecting 2D planes: CREWES Meeting Talk, 36, no. 18.