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Preprint Oct 2026

GeoFWI3D: Large-scale 3D Velocity Model Dataset for Deep Learning-assisted Seismic Imaging

We introduce GeoFWI3D, a large-scale open-source benchmark dataset of geologically plausible 3D subsurface models designed to accelerate deep learning (DL) assisted seismic imaging and full waveform inversion (FWI). FWI is a physics-driven, wave-equation-based optimization technique used in seismic imaging to estimate...

S. Swaminadhan, Yi-Ran Shen, Chao Li et al. · 0 citations
Aug 2026

Deep Learning Matching Filtering for Elastic Full Waveform Inversion

A deep‐learning‐based matching‐filtering framework is proposed, in which a lightweight neural network is trained to learn adaptive, data‐driven matching filters that map synthetic elastic wavefields towards the observed data.

Chao Li, Yang-Kang Chen · 0 citations

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