Solving the frequency-domain acoustic VTI wave equation using physics-informed neural networks

C Song, T Alkhalifah, UB Waheed - Geophysical Journal …, 2021 - academic.oup.com
Frequency-domain wavefield solutions corresponding to the anisotropic acoustic wave
equation can be used to describe the anisotropic nature of the Earth. To solve a frequency …

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 skip** in full-waveform inversion (FWI). WRI is often implemented …

Regularized elastic full-waveform inversion using deep learning

Z Zhang, T Alkhalifah - Advances in subsurface data analytics, 2022 - Elsevier
Elastic full-waveform inversion, which aims to match the waveforms of prestack seismic data,
potentially provides more accurate high-resolution reservoir characterization from seismic …

Deep-learning assisted regularized elastic full waveform inversion using the velocity distribution information from wells

Y Li, T Alkhalifah, Z Zhang - Geophysical Journal International, 2021 - academic.oup.com
Elastic full waveform inversion (EFWI) can, theoretically, give high-resolution estimates of
the subsurface. However, in practice, the resolution and illumination of EFWI are limited by …

Target-oriented time-lapse waveform inversion using deep learning-assisted regularization

Y Li, T Alkhalifah, Q Guo - Geophysics, 2021 - pubs.geoscienceworld.org
Detection of the property changes in the reservoir during injection and production is
important. However, the detection process is very challenging using surface seismic surveys …

Extended full waveform inversion with matching filter

Y Li, T Alkhalifah - Geophysical Prospecting, 2021 - earthdoc.org
Full waveform inversion has shown its huge potentials in recovering a high‐resolution
subsurface model. However, conventional full waveform inversion usually suffers from cycle …

Expectation-maximization framework-based image-domain least-squares migration

S Sheng, B Feng, H Wang, P Xu, C Wu - Geophysics, 2023 - pubs.geoscienceworld.org
High-resolution and high-fidelity seismic inversion imaging is one of the core issues of
lithologic reservoir exploration. As a linearization subproblem of full-waveform inversion …

Wavefield reconstruction inversion via machine learned functions

C Song, T Alkhalifah - SEG Technical Program Expanded Abstracts …, 2020 - library.seg.org
Wavefield reconstruction inversion (WRI) is a PDE constrained optimization problem that
aims to mitigate cycle skip** in full-waveform inversion (FWI) among other potential …

Target-oriented time-lapse waveform inversion using redatumed data: Feasibility and robustness

Y Li, Q Guo, T Alkhalifah, V Kazei - SEG Technical Program …, 2020 - library.seg.org
Seismic monitoring of the changes in the subsurface induced by various types of injections
into reservoirs is important, yet challenging. Time-lapse waveform inversion can retrieve …

Target-oriented time-lapse elastic full-waveform inversion assisted by deep learning with prior information

Y Li, A Bakulin, P Nivlet, R Smith… - … Exposition and Annual …, 2021 - onepetro.org
Time-lapse (TL) monitoring of the elastic property changes in the reservoir of interest is
important for optimizing the reservoir interpretation and development plan. Given that elastic …