3 papers
physics.geo-ph2025
Theory-guided Pseudo-spectral Full Waveform Inversion via Deep Neural Networks
Christopher Zerafa, Pauline Galea, Cristiana Sebu
Full-Waveform Inversion seeks to achieve a high-resolution model of the subsurface through the application of multi-variate optimization to the seismic inverse problem. Although no…
physics.geo-ph2025
Data-Driven Pseudo-spectral Full Waveform Inversion via Deep Neural Networks
Christopher Zerafa, Pauline Galea, Cristiana Sebu
FWI seeks to achieve a high-resolution model of the subsurface through the application of multi-variate optimization to the seismic inverse problem. Although now a mature technolog…
physics.geo-ph2025
Synergizing Deep Learning and Full-Waveform Inversion: Bridging Data-Driven and Theory-Guided Approaches for Enhanced Seismic Imaging
Christopher Zerafa, Pauline Galea, Cristiana Sebu
This review explores the integration of deep learning (DL) with full-waveform inversion (FWI) for enhanced seismic imaging and subsurface characterization. It covers FWI and DL fun…