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Solving the frequency-domain acoustic VTI wave equation using physics-informed neural networks
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 …
equation can be used to describe the anisotropic nature of the Earth. To solve a frequency …
Wavefield reconstruction inversion via physics-informed neural networks
Wavefield reconstruction inversion (WRI) formulates a PDE-constrained optimization
problem to reduce cycle skip** in full-waveform inversion (FWI). WRI is often implemented …
problem to reduce cycle skip** in full-waveform inversion (FWI). WRI is often implemented …
Regularized elastic full-waveform inversion using deep learning
Elastic full-waveform inversion, which aims to match the waveforms of prestack seismic data,
potentially provides more accurate high-resolution reservoir characterization from seismic …
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
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 …
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
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 …
important. However, the detection process is very challenging using surface seismic surveys …
Extended full waveform inversion with matching filter
Full waveform inversion has shown its huge potentials in recovering a high‐resolution
subsurface model. However, conventional full waveform inversion usually suffers from cycle …
subsurface model. However, conventional full waveform inversion usually suffers from cycle …
Expectation-maximization framework-based image-domain least-squares migration
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 …
lithologic reservoir exploration. As a linearization subproblem of full-waveform inversion …
Wavefield reconstruction inversion via machine learned functions
Wavefield reconstruction inversion (WRI) is a PDE constrained optimization problem that
aims to mitigate cycle skip** in full-waveform inversion (FWI) among other potential …
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
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 …
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
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 …
important for optimizing the reservoir interpretation and development plan. Given that elastic …