Wavefield reconstruction inversion via physics-informed neural networks

C Song, TA Alkhalifah - IEEE Transactions on Geoscience and …, 2021 - ieeexplore.ieee.org
Wavefield reconstruction inversion (WRI) formulates a PDE-constrained optimization
problem to reduce cycle skipping in full-waveform inversion (FWI). WRI is often implemented …

Elastic full waveform inversion based on full-band seismic data reconstructed by dual deconvolution

G Chen, W Yang, H Wang, H Zhou… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
Affected by the low-frequency seismic data missing and multiple parameters coupling,
elastic full waveform inversion (EFWI) is easy to fall into local minima. This letter attempts to …

Localized adaptive waveform inversion: theory and numerical verification

P Yong, R Brossier, L Métivier… - Geophysical Journal …, 2023 - academic.oup.com
Correctly interpreting phase events thanks to data processing techniques based on
correlation or deconvolution has been the focus of numerous studies in the field of high …

Envelope-based sparse-constrained deconvolution for velocity model building

G Chen, W Yang, Y Liu, J Luo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Full waveform inversion is often troubled by falling into a local minimum due to cycle-
skipping problem when missing low-frequency seismic data. According to the dynamics of …

Localized adaptive waveform inversion: regularizations for Gabor deconvolution and 3-D field data application

P Yong, R Brossier, L Métivier… - Geophysical Journal …, 2023 - academic.oup.com
Recently, we have developed a localized adaptive waveform inversion (LAWI) method to
tackle the cycle-skipping issue in velocity reconstruction through seismic waveform …

Source-Independent Full-Waveform Inversion Based on Convolutional Wasserstein Distance Objective Function

S Jiang, H Chen, H Li, H Zhou, L Wang… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Full-waveform inversion (FWI), as a high-precision model building method, plays an
invaluable role in seismic exploration. The accuracy of conventional FWI is universally …

Multi-parameter true-amplitude generalized radon transform inversion for acoustic transversely isotropic media with a vertical symmetry axis

W Ouyang, Q Liang, W Mao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In anisotropic media, the compressional wave scattering phenomena is governed by several
parameters and can be simulated using a good kinematic approximation. How to retrieve …

Frequency-wavenumber domain elastic full waveform inversion with a multistage phase correction

Y Hu, LY Fu, Q Li, W Deng, L Han - Remote Sensing, 2022 - mdpi.com
Elastic full waveform inversion (EFWI) is essential for obtaining high-resolution multi-
parameter models. However, the conventional EFWI may suffer from severe cycle skipping …

Well-guided multisource elastic full-waveform inversion

Q Li, Q Zhang, Q Du, S Cheng - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Full-waveform inversion (FWI) has been considered one of the most promising approaches
to estimating high-resolution subsurface parameters, which takes advantage of the …

Joint traditional and reflection envelope inversion

Y Hu, LY Fu, W Deng, Q Li… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
The envelope inversion (EI) is an effective method to recover low-wavenumber components,
which helps to produce a good initial model for full-waveform inversion (FWI). However …