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 …
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 …
elastic full waveform inversion (EFWI) is easy to fall into local minima. This letter attempts to …
Localized adaptive waveform inversion: theory and numerical verification
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 …
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 …
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
Recently, we have developed a localized adaptive waveform inversion (LAWI) method to
tackle the cycle-skipping issue in velocity reconstruction through seismic waveform …
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 …
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 …
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
Elastic full waveform inversion (EFWI) is essential for obtaining high-resolution multi-
parameter models. However, the conventional EFWI may suffer from severe cycle skipping …
parameter models. However, the conventional EFWI may suffer from severe cycle skipping …
Well-guided multisource elastic full-waveform inversion
Full-waveform inversion (FWI) has been considered one of the most promising approaches
to estimating high-resolution subsurface parameters, which takes advantage of the …
to estimating high-resolution subsurface parameters, which takes advantage of the …
Joint traditional and reflection envelope inversion
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 …
which helps to produce a good initial model for full-waveform inversion (FWI). However …