122 citations · 401 across the 20 of their papers we have counts for
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Multipliers waveform inversion
Ali Gholami, Hossein S. Aghamiry, Stéphane Operto
The full-waveform inversion (FWI) addresses the computation and characterization of subsurface model parameters by matching predicted data to observed seismograms in the frame of n…
Accurate 3D frequency-domain seismic wave modeling with the wavelength-adaptive 27-point finite-difference stencil: a tool for full waveform inversion
Hossein S. Aghamiry, Ali Gholami, Laure Combe +1
Efficient frequency-domain Full Waveform Inversion (FWI) of long-offset/wide-azimuth node data can be designed with a few discrete frequencies. However, 3D frequency-domain seismic…
Randomized source sketching for full waveform inversion
Kamal Aghazade, Hossein S. Aghamiry, Ali Gholami +1
Partial differential equation (PDE) constrained optimization problems such as seismic full waveform inversion (FWI) frequently arise in the geoscience and related fields. For such…
Anderson accelerated augmented Lagrangian for extended waveform inversion
Kamal Aghazade, Ali Gholami, Hossein S Aghamiry +1
The augmented Lagrangian (AL) method provides a flexible and efficient framework for solving extended-space full-waveform inversion (FWI), a constrained nonlinear optimization prob…
ADMM-based full-waveform inversion for microseismic imaging
Hossein S. Aghamiry, Ali Gholami, Stéphane Operto +1
Full waveform inversion (FWI) is beginning to be used to characterize weak seismic events at different scales, an example of which is microseismic event (MSE) characterization. How…
Efficient extended-search space full-waveform inversion with unknown source signatures
Hossein S. Aghamiry, Frichnel W. Mamfoumbi-Ozoumet, Ali Gholami +1
Full waveform inversion (FWI) requires an accurate estimation of source signatures. Due to the coupling between the source signatures and the subsurface model, small errors in the…