29 citations · 170 across the 34 of their papers we have counts for
7 papers · 1 filter
Reciprocity-aware adaptive tile low-rank factorization for large-scale 3D multidimensional deconvolution
Fuqiang Chen, Matteo Ravasi, David Keyes
Low-rank regularization is an effective technique for addressing ill-posed inverse problems when the unknown variable exhibits low-rank characteristics. However, global low-rank as…
Annealed Stein Variational Gradient Descent for Improved Uncertainty Estimation in Full-Waveform Inversion
Miguel Corrales, Sean Berti, Bertrand Denel +3
In recent years, Full-Waveform Inversion (FWI) has been extensively used to derive high-resolution subsurface velocity models from seismic data. However, due to the nonlinearity an…
Signal Enhancement in Distributed Acoustic Sensing Data Using a Guided Unsupervised Deep Learning Network
Omar M. Saad, Matteo Ravasi, Tariq Alkhalifah
Distributed Acoustic Sensing (DAS) is a promising technology introducing a new paradigm in the acquisition of high-resolution seismic data. However, DAS data often show weak signal…
Multidimensional deconvolution with shared bases
Daria Sushnikova, Matteo Ravasi, David Keyes
We address the estimation of seismic wavefields by means of Multidimensional Deconvolution (MDD) for various redatuming applications. While offering more accuracy than conventional…
Robust Full Waveform Inversion with deep Hessian deblurring
Mustafa Alfarhan, Matteo Ravasi, Fuqiang Chen +1
Full Waveform Inversion (FWI) is a technique widely used in geophysics to obtain high-resolution subsurface velocity models from waveform seismic data. Due to its large computation…
Upside down Rayleigh-Marchenko: a practical, yet exact redatuming scheme for seabed seismic acquisitions
Ning Wang, Matteo Ravasi
Ocean-bottom seismic plays a crucial role in resource exploration and monitoring. However, despite its undoubted potential, the use of coarse receiver geometries poses challenges t…
Plug-and-Play regularized 3D seismic inversion with 2D pre-trained denoisers
Nick Luiken, Juan Romero, Miguel Corrales +1
Post-stack seismic inversion is a widely used technique to retrieve high-resolution acoustic impedance models from migrated seismic data. Its modelling operator assumes that a migr…