PGFRNN achieves higher inversion accuracy and robustness to noise and poor initial models than conventional L2- and SALC-loss FWI on the Overthrust model via Fourier embedding and physics-guided optimization.
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Seismic full waveform inversion via a physics-guided Fourier representation neural network
PGFRNN achieves higher inversion accuracy and robustness to noise and poor initial models than conventional L2- and SALC-loss FWI on the Overthrust model via Fourier embedding and physics-guided optimization.