Amundaray, N., and Innanen, K. A., 2021, Time-lapse elastic full waveform inversion of CO2 injection at CaMI FRS using VSP: a feasibility study: CREWES Research Report, 33, 1, 17.
Amundaray, N., and Trad, D. O., 2021, Semblance-based velocity picking using unsupervised machine learning: CREWES Research Report, 33, 2, 10.
Bayati, F., and Trad, D. O., 2021, 3-D data interpolation and denoising by adaptive weighting rank-reduction method using singular spectrum analysis algorithm: CREWES Research Report, 33, 3, 25.
Bertram, K. L., Hall, K. W., Bertram, M. B., Lauer, R., and Innanen, K. A., 2021, 2021 CREWES field work: CREWES Research Report, 33, 4, 16.
Chen, H., and Innanen, K. A., 2021, Estimation of fracture indicators using azimuthal PP-wave amplitudes without NMO correction: CREWES Research Report, 33, 5, 22.
Chen, H., and Innanen, K. A., 2021, Inversion of SV-to-SV wave AVAZ data for fracture indicator: Synthetic example: CREWES Research Report, 33, 6, 20.
CREWES, 2021, Abstract Book: CREWES Research Report, 33, 71.
Eaid, M., Keating, S., and Innanen, K. A., 2021, Full waveform inversion of DAS field data from the 2018 CaMI VSP survey: CREWES Research Report, 33, 7, 28.
Eaid, M., Keating, S., and Innanen, K. A., 2021, Processing of the 2018 CaMI VSP survey for full waveform inversion: CREWES Research Report, 33, 8, 23.
Fu, X., and Innanen, K. A., 2021, Reducing source wavelet non-repeatability for time-lapse shot gathers: CREWES Research Report, 33, 9, 21.
Fu, X., and Innanen, K. A., 2021, Stepsize sharing in time-lapse full-waveform inversion: CREWES Research Report, 33, 10, 22.
Guarido, M., Emery, D. J., Trad, D. O., and Innanen, K. A., 2021, An overview of geothermal energy technologies: CREWES Research Report, 33, 11, 10.
Guarido, M., Emery, D. J., Trad, D. O., and Innanen, K. A., 2021, Calgary's municipal buildings energy consumption analysis and forecast: CREWES Research Report, 33, 12, 21.
Guarido, M., Qu, L., Niu, Z., Zhuang, K., Emery, D. J., Trad, D. O., and Innanen, K. A., 2021, Seismic inversion with gradient boosting: CREWES Research Report, 33, 13, 13.
Hall, K. W., Lawton, D. C., and Innanen, K. A., 2021, Fibre trace registration by cross-correlations - can we successfully predict helically wound fibre pitch angle from recorded data?: CREWES Research Report, 33, 14, 18.
Henley, D. C., 2021, Preliminary processing of physical modeling data from circular arrays: CREWES Research Report, 33, 15, 17.
Hu, Q., and Innanen, K. A., 2021, Time-lapse rock physics CO2 monitoring with FWI: CREWES Research Report, 33, 16, 20.
Hu, Q., Innanen, K. A., and Macquet, M., 2021, Rock physics analysis of well-log data: CREWES Research Report, 33, 17, 13.
Huang, S., and Trad, D. O., 2021, Convolutional neural network-based reverse time migration with multiple energy: CREWES Research Report, 33, 18, 20.
Huang, S., and Trad, D. O., 2021, Phase shift plus interpolation migration with scattering terms: CREWES Research Report, 33, 19, 7.
Huang, S., Wozniakowska, P., Guarido, M., Emery, D. J., and Trad, D. O., 2021, 1D convolutional neural network with stacked bidirectional long short-term memory for seismic impedance inversion: CREWES Research Report, 33, 20, 9.
Innanen, K. A., 2021, A phase transition in the O'Doherty-Anstey model: CREWES Research Report, 33, 21, 6.
Innanen, K. A., 2021, A selective review of methods of statistical mechanics: CREWES Research Report, 33, 22, 40.
Innanen, K. A., 2021, Navigation in a model space with misfit-induced curvature: CREWES Research Report, 33, 23, 9.
Innanen, K. A., 2021, Quantifying uncertainty in tomographic problems with a statistical zipper model: CREWES Research Report, 33, 24, 8.
Innanen, K. A., 2021, The statistical mechanics of model space shuttles: CREWES Research Report, 33, 25, 6.
Innanen, K. A., 2021, Vectors and tensors in curved space: CREWES Research Report, 33, 26, 11.
Keating, S., Eaid, M., and Innanen, K. A., 2021, Effective sources: removing the near surface from the VSP FWI problem: CREWES Research Report, 33, 27, 10.
Keating, S., Eaid, M., and Innanen, K. A., 2021, Full waveform inversion of VSP accelerometer data from the CaMI field site: CREWES Research Report, 33, 28, 8.
Kolkman-Quinn, B., Lawton, D. C., and Macquet, M., 2021, Time-lapse analysis of CaMI.FRS CO2 VSP data: CREWES Research Report, 33, 29, 20.
Lamoureux, M. P., and Vestrum, R.J., 2021, Factoring the wave equation for fast, implicit numerical solutions: CREWES Research Report, 33, 30, 20.
Law, B. K., and Trad, D. O., 2021, First break picking with machine learning: CREWES Research Report, 33, 31, 14.
Lawton, D. C., Maidment, G., Châtenay, A., Giersz, C., Ourabah, A., Macquet, M., Bertram, M. B., and Bertram, K. L., 2021, CO2 monitoring at the CaMI Field Research Station - update: CREWES Research Report, 33, 32, 10.
Li, J. L., and Innanen, K. A., 2021, A review of seismic-while-drilling technique: from 1986 to 2020: CREWES Research Report, 33, 33, 16.
Li, J. L., Keating, S., Shor, R., and Innanen, K. A., 2021, Simultaneous waveform inversion for velocity, density and source moments with application to seismic-while-drilling: CREWES Research Report, 33, 34, 26.
Liu, H., Trad, D. O., and Innanen, K. A., 2021, Amplitude-encoding FWI using different bases: CREWES Research Report, 33, 35, 18.
Lume, M., Guarido, M., Emery, D. J., and Innanen, K. A., 2021, Insights on domain adaptation for fault identification: CREWES Research Report, 33, 36, 6.
Lume, M., and Innanen, K. A., 2021, Local optimization approaches for simultaneous AVO inversion based on re-parameterized Zoeppritz equations: CREWES Research Report, 33, 37, 17.
Monsegny, J. E., Lawton, D. C., and Trad, D. O., 2021, Passive source location by diffraction scanning: CREWES Research Report, 33, 38, 11.
Monsegny, J. E., Trad, D. O., and Lawton, D. C., 2021, An encoder-decoder CNN for DAS-to-geophone transformation: CREWES Research Report, 33, 39, 9.
Qu, L., Fu, X., and Innanen, K. A., 2021, Reducing the influence of coherent noise on FWI with misfit modification: CREWES Research Report, 33, 40, 11.
Qu, L., Keating, S., and Innanen, K. A., 2021, Reducing the influence of remnant noise on elastic FWI with misfit modification: CREWES Research Report, 33, 41, 11.
Russell, B. H., 2021, Seismic facies classification with parametric and nonparametric statistics: CREWES Research Report, 33, 42, 15.
Sadownyk, L. S., Guarido, M., Zeinabady, D., Sarvaramini, E., Zhang, Z., Tabasinejad, F., Salari, H., Innanen, K. A., and Clarkson, C. R., 2021, Shiny web applications for unsupervised learning optimization applied to diagnostic fracture injection test event detection: CREWES Research Report, 33, 43, 15.
Su, Z., and Trad, D. O., 2021, Deblending in various domains: CREWES Research Report, 33, 44, 11.
Trad, D. O., 2021, GPU applications for modelling, migration, inversion and machine learning: CREWES Research Report, 33, 45, 25.
Wang, Y., and Lawton, D. C., 2021, Attenuation estimation from DAS VSP data of CaMI Field Research Station: CREWES Research Report, 33, 46, 12.
Wong, J., Bertram, K. L., and Innanen, K. A., 2021, Acquiring physically-modeled seismic data using 70kHz piezoelectric buzzers: CREWES Research Report, 33, 47, 13.
Wong, J., Henley, D. C., and Innanen, K. A., 2021, Analyzing buzzer-acquired physically-modelled data for FWI: CREWES Research Report, 33, 48, 14.
Zhang, T., and Innanen, K. A., 2021, The objective functions and adjoint sources behaviour for elastic full waveform inversion: CREWES Research Report, 33, 49, 13.
Zhang, T., Innanen, K. A., and Trad, D. O., 2021, Learning the elastic wave equation with Fourier neural operators: CREWES Research Report, 33, 50, 13.
Zhang, T., Sun, J., Trad, D. O., and Innanen, K. A., 2021, An implicit neural representation for full waveform inversion: CREWES Research Report, 33, 51, 13.
Zhuang, K., and Trad, D. O., 2021, Application of GPU processing for acceleration of the non-uniform discrete Fourier transform: CREWES Research Report, 33, 52, 5.