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RNN for Anisotropic Viscoelastic FWI by ting.chen.seven is a document available to read on EtoBox.

What is RNN for Anisotropic Viscoelastic FWI about?

This document presents a theory-guided deep learning approach using a recurrent neural network (RNN) for anisotropic viscoelastic full waveform inversion (FWI), addressing the challenges of inverting multiple parameters simultaneously. The RNN is designed to simulate wave propagation and compute updates for medium properties, utilizing high-order total variation regularization to enhance parameter recovery. The study emphasizes the importance of incorporating attenuation in seismic data inversion and demons

Author

ting.chen.seven

Language

EN