2018 <<   Research Reports 2019

CREWES, 2019, Abstract Book: CREWES Research Report, 31, 81.
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Bayati, F., and Trad, D. O., 2019, Exploring two different methods of seismic interpolating operators: CREWES Research Report, 31, 1.1–1.15.
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Bertram, K. L., Innanen, K. A. H., Hall, K. W., Macquet, M., Bertram, M. B., and Lawton, D. C., 2019, CREWES in the field: 2019 overview: CREWES Research Report, 31, 2.1–2.13.
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Chen, H., Li, J., and Innanen, K. A. H., 2019, Inversion for two sets of fracture weaknesses using differences between azimuthal reflection coefficients - Theory and synthetic examples: CREWES Research Report, 31, 3.1–3.13.
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Chen, H., Moradi, S., and Innanen, K. A. H., 2019, Joint inversion of PP- and PSV-wave amplitude data for estimating P- and S-wave moduli and attenuation factor: CREWES Research Report, 31, 4.1–4.24.
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Chen, H., and Innanen, K. A. H., 2019, Nonlinear inversion of seismic amplitude data for attenuation and layer-weaknesses: CREWES Research Report, 31, 5.1–5.24.
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Cova, R., and Innanen, K. A. H., 2019, Full waveform inversion of multimode surface wave data: numerical insights: CREWES Research Report, 31, 6.1–6.11.
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Eaid, M., and Innanen, K. A. H., 2019, Coherent optical time domain reflectometry: the theoretical basis for distributed acoustic sensing technologies: CREWES Research Report, 31, 7.1–7.7.
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Eaid, M., Keating, S., and Innanen, K. A. H., 2019, Constructing meaningful FWI gradients for data from shaped DAS fibres: CREWES Research Report, 31, 8.1–8.30.
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Eaid, M., and Innanen, K. A. H., 2019, Modelling DAS signals for hydraulic fracturing and caprock monitoring: CREWES Research Report, 31, 9.1–9.13.
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Fathalian, A., Trad, D. O., and Innanen, K. A. H., 2019, 3D viscoacoustic reverse time migration with attenuation compensation: CREWES Research Report, 31, 10.1–10.8.
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Fu, X., and Innanen, K. A. H., 2019, Bayesian generalized linear AVA inversion for VTI media: CREWES Research Report, 31, 11.1–11.22.
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Fu, X., Romahn, S. J., and Innanen, K. A. H., 2019, Double-wavelet double-difference time-lapse waveform inversion: CREWES Research Report, 31, 12.1–12.9.
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Fu, X., Romahn, S. J., and Innanen, K. A. H., 2019, Waveform inversion combining one-way and two-way wave equation migration: CREWES Research Report, 31, 13.1–13.13.
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Guarido, M., and Trad, D. O., 2019, Machine learning as a tool to predict the mass of oil from well logs: CREWES Research Report, 31, 14.1–14.13.
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Guarido, M., and Trad, D. O., 2019, Using natural language processing and machine learning to predict severe injuries classification in the oil and gas industry: CREWES Research Report, 31, 15.1–15.16.
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Guevara, S. E., and Trad, D. O., 2019, SS-wave reflections from conventional 3C data: CREWES Research Report, 31, 16.1–16.10.
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Hall, K. W., and Lawton, D. C., 2019, DAS trace location assignment at the CaMI.FRS fibre loop: CREWES Research Report, 31, 17.1–17.15.
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Hall, K. W., and Innanen, K. A. H., 2019, A directional DAS sensor and multi-component geophone comparison: CREWES Research Report, 31, 18.1–18.10.
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Hardeman-Vooys, H. K., and Lamoureux, M. P., 2019, Investigation of fibre-optic cable formation in DAS acquisition: CREWES Research Report, 31, 19.1–19.27.
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Hardeman-Vooys, H. K., McDonald, M. A. D., and Lamoureux, M. P., 2019, Locating events using independent component analysis and Gaussian mixture models: CREWES Research Report, 31, 20.1–20.20.
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Hardeman-Vooys, H. K., McDonald, M. A. D., and Lamoureux, M. P., 2019, Image registration for distributed acoustic sensing acquired data using convolutional neural networks: CREWES Research Report, 31, 21.1–21.21.
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Henley, D. C., and Wong, J., 2019, Let there be light: illuminating physical models from the surface: CREWES Research Report, 31, 22.1–22.27.
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Hu, Q., Keating, S., and Innanen, K. A. H., 2019, Direct elastic FWI updating of rock physics properties: CREWES Research Report, 31, 23.1–23.23.
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Hu, Q., and Innanen, K. A. H., 2019, Study of crosstalk reduction in multiparameter acoustic FWI: CREWES Research Report, 31, 24.1–24.16.
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Huang, S., and Trad, D. O., 2019, Migration with surface and internal multiples: CREWES Research Report, 31, 25.1–25.19.
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Ibrahim, A., Zhuang, K., and Trad, D. O., 2019, Deblending using hybrid Radon transform: CREWES Research Report, 31, 26.1–26.7.
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Ibrahim, A., and Trad, D. O., 2019, Deblending using robust inversion of Stolt-based Radon operators: CREWES Research Report, 31, 27.1–27.15.
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Innanen, K. A. H., Lawton, D. C., Hall, K. W., Bertram, M. B., and Bertram, K. L., 2019, Detection of transient time lapse seismic signatures associated with CO2 injection: CREWES Research Report, 31, 28.1–28.14.
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Innanen, K. A. H., Trad, D. O., Lawton, D. C., Lauer, R., Shor, R., and Lamoureux, M. P., 2019, Quantitative characterization and monitoring of reservoir properties, pressures, fluids and fractures with multicomponent and quasi-continuous full-waveform seismology: CREWES Research Report, 31, 29.1–29.22.
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Innanen, K. A. H., 2019, Short note: analysis of the non-uniqueness of seismic travel-times through brute-force counting: CREWES Research Report, 31, 30.1–30.6.
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Isaac, J. H., and Lawton, D. C., 2019, Seismic studies of the near-surface at the CaMI Field Research Station, Newell County, Alberta: CREWES Research Report, 31, 31.1–31.6.
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Keating, S., Iverson, A., and Innanen, K. A. H., 2019, Accounting for attenuation in the downward generator adaptive subtraction domain: CREWES Research Report, 31, 32.1–32.11.
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Keating, S., and Innanen, K. A. H., 2019, Full-waveform inversion uncertainty analysis with null-space shuttles: CREWES Research Report, 31, 33.1–33.16.
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Keating, S., and Innanen, K. A. H., 2019, Penalty terms in the truncated Newton inner-loop for full-waveform inversion: CREWES Research Report, 31, 34.1–34.10.
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Keating, S., and Innanen, K. A. H., 2019, Parameter cross-talk and leakage between spatially-separated unknowns in viscoelastic full waveform inversion: CREWES Research Report, 31, 35.1–35.24.
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Keating, S., and Innanen, K. A. H., 2019, Viscoacoustic WRI - obstacles for multi-parameter cycle-skipping strategies?: CREWES Research Report, 31, 36.1–36.11.
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Lamoureux, M. P., and Hardeman-Vooys, H. K., 2019, Gabor multipliers revisited: CREWES Research Report, 31, 37.1–37.12.
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Law, B. K., and Trad, D. O., 2019, Review of tomographic methods: CREWES Research Report, 31, 38.1–38.13.
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Lawton, D. C., Gordon, A., Bidikhova, S., Hall, K. W., and Bertram, M. B., 2019, Update on DAS and geophone VSP surveys at the CaMI Field Research Station, Newell County, Alberta: CREWES Research Report, 31, 39.1–39.14.
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Li, D., Lamoureux, M. P., and Liao, W., 2019, Full waveform inversion with unbalanced optimal transport distance: CREWES Research Report, 31, 40.1–40.13.
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Liu, H., and Innanen, K. A. H., 2019, A first-order quasi-SV-wave propagator in 2-dimensional vertical transversely isotropic (VTI) media: CREWES Research Report, 31, 41.1–41.15.
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Macquet, M., and Lawton, D. C., 2019, Ambient noise correlation study at the CaMI Field Research Station, Newell County, Alberta, Canada: CREWES Research Report, 31, 42.1–42.26.
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Monsegny, J. E., Trad, D. O., and Lawton, D. C., 2019, RTM of a distributed acoustic sensing VSP at the CaMI Field Research Station, Newell County, Alberta, Canada: CREWES Research Report, 31, 43.1–43.15.
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Niu, Z., and Trad, D. O., 2019, Deblending using convolutional neural networks: CREWES Research Report, 31, 44.1–44.14.
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Niu, Z., and Trad, D. O., 2019, Machine learning experiments on velocity extraction from migration images: CREWES Research Report, 31, 45.1–45.12.
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Qu, L., and Innanen, K. A. H., 2019, Comparison of different surface wave inversion methods in engineering scale: CREWES Research Report, 31, 46.1–46.18.
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Qu, L., Dettmer, J., and Innanen, K. A. H., 2019, Trans-Dimensional multimode surface wave inversion of DAS data at CaMI-FRS: CREWES Research Report, 31, 47.1–47.18.
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Russell, B. H., and Lines, L. R., 2019, A numerical comparison of seismic inversion, multilayer and basis function neural networks: CREWES Research Report, 31, 48.1–48.1.
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Su, Z., and Trad, D. O., 2019, Migration and demigration deblending in receiver domain: CREWES Research Report, 31, 49.1–49.11.
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Trad, D. O., 2019, A Madagascar package for deblending in multiple flavours: CREWES Research Report, 31, 50.1–50.20.
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Weir, R., Lawton, D. C., and Lines, L. R., 2019, Integrated interpretation: Using reflection seismic and microseismic to de-risk the Duvernay: CREWES Research Report, 31, 51.1–51.19.
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Wong, J., Zhang, H., Bertram, K. L., and Innanen, K. A. H., 2019, Physical modeling of microseismics and time reversal: CREWES Research Report, 31, 52.1–52.13.
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Wong, J., Zhang, H., Kazemi, N., Bertram, K. L., Innanen, K. A. H., and Shor, R., 2019, Physical modeling of seismic illumination and SWD: CREWES Research Report, 31, 53.1–53.14.
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Zhang, H., Ibrahim, A., Trad, D. O., and Innanen, K. A. H., 2019, Interpolation through machine learning: CREWES Research Report, 31, 54.1–54.29.
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Zhang, T., Innanen, K. A. H., Sun, J., and Trad, D. O., 2019, A deep learning formulation of elastic FWI with numerical and parameterization analysis: CREWES Research Report, 31, 55.1–55.24.
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Zhang, T., Innanen, K. A. H., Sun, J., and Trad, D. O., 2019, Theory based machine learning viscoelastic full waveform inversion based on recurrent neural network: CREWES Research Report, 31, 56.1–56.20.
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Zhuang, K., Trad, D. O., and Ibrahim, A., 2019, Sparse inversion based deblending in CMP domain using Radon operators: CREWES Research Report, 31, 57.1–57.15.
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