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Author

A. Malcolm

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Review Oct 2026

Uncertainty quantification in time-lapse full-waveform inversion of vertical seismic profiling data: contrasting the Hamiltonian Monte Carlo and Stein Variational Gradient Descent methods

Time-lapse full-waveform inversion (TL-FWI) is increasingly important in energy-transition applications, particularly for monitoring CO2 geological storage. Because TL-FWI is highly nonlinear and baseline and monitor surveys commonly differ in acquisition, illumination, and noise conditions, uncertainty quantificatio...

Jin-Ji Li, Kristopher A. Innanen, A. Malcolm · 0 citations
Open access Oct 2026

Bayesian full waveform inversion using deep learning surrogate models

Full waveform inversion (FWI) is among the most accurate seismic imaging techniques, yet its Bayesian formulation remains computationally prohibitive. The gold-standard method, Markov chain Monte Carlo (McMC), requires hundreds of thousands of expensive forward simulations. Variational inference (VI) approaches offer...

Abolfazl Khan Mohammadi, A. Malcolm, C. Farquharson · 0 citations

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