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Localized Wavefield Inversion (LWI): an Adaptation of Multi-Block ADMM for Localized FWI
Hossein S. Aghamiry, Ali Gholami, Stephane Operto +1
Full-waveform inversion (FWI) is a high-resolution and computationally intensive imaging technique to reconstruct unknown parameters in the computational model in which the waves p…
Large-scale highly-accurate extended full waveform inversion using convergent Born series
Hossein S. Aghamiry, Ali Gholami, Kamal Aghazade +2
Full-waveform inversion (FWI) is a seismic imaging method that provides quantitative inference about subsurface properties with a wavelength-scale resolution. Its frequency-domain…
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…
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…
Full Waveform Inversion with Adaptive Regularization
Hossein S. Aghamiry, Ali Gholami, Stéphane Operto
Regularization is necessary for solving nonlinear ill-posed inverse problems arising in different fields of geosciences. The base of a suitable regularization is the prior expresse…