3 papers
physics.geo-ph2026
Multi-Modal Surface Wave Inversion using Physics Guided Variational Autoencoders
Sujith Swaminadhan, Andrey Bakulin, Sergey Fomel +1
The growth in seismic acquisition techniques has led to large-scale surveys, making traditional manual dispersion analysis logistically and computationally prohibitive. While deep…
physics.geo-ph2026
GeoFWI3D: Large-scale 3D Velocity Model Dataset for Deep Learning-assisted Seismic Imaging
Sujith Swaminadhan, Yiran Shen, Chao Li +11
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…
physics.geo-ph2026
Training a generalizable diffusion model for seismic data processing using a large-scale open-source waveform dataset
Xinyue Gong, Sergey Fomel, Yangkang Chen
We introduce the Seismic Waveforms dataset for Automatic Neural-network processing (SWAN), a comprehensive and standardized benchmark designed to advance data-driven seismic signal…