Chen, H., Han, J., Geng, J., and Innanen, K. A., 2022, Anisotropic anelastic impedance inversion for attenuation factor and weaknesses combining newton and bayesian markov chain monte carlo algorithms: Surveys in Geophysics, 43, no. 6., 1845-1872.
Fu, X., and Innanen, K. A., 2022, A time-domain multisource Bayesian/Markov chain Monte Carlo formulation of time-lapse seismic waveform inversion: Geophysics, 87, no. 4., R349-R361.
Keating, S., and Innanen, K. A., 2022, Regularization tunneling for full waveform inversion: Geophysical Journal International, 229, no. 3., 1503-1516.
Li, D., Lamoureux, M. P., and Liao, W., 2022, Application of an unbalanced optimal transport distance and a mixed L1/Wasserstein distance to full waveform inversion: Geophysical Journal International, 230, no. 2., 1338-1357.
Macquet, M., Lawton, D. C., Osadetz, K. G., Maidment, G., Bertram, M. B., Hall, K. W., Kolkman-Quinn, B., Monsegny, J. E., Race, F., Savard, G., and Wang, Y., 2022, Overview of Carbon Management Canada’s pilot-scale CO2 injection site for developing and testing monitoring technologies for carbon capture and storage,and methane detection: Focus Article - CSEG Recorder, 47, no. 01..
Weir, R., Eaton, D. W. S., Lawton, D. C., and Eyre, T., 2022, Integrated interpretation: Defining risk corridors by combining 3-D seismic interpretation with induced seismicity hypocenters: Tectonophysics, 827, 1-13.