Poststack seismic data denoising via dynamic guided learning

Abstract

Seismic data denoising supports subsurface interpretation by improving signal quality and attenuating noise. This work studies a dynamic guided learning approach for poststack seismic data, addressing limitations of classical methods that depend on predefined statistical assumptions.

Authors

1. Javier Torres-Quintero
2. Paul Goyes-Peñafiel
3. Ana Gabriela Mantilla Dulcey
4. Henry Arguello

Citation

@article{TorresQuintero2025Poststack,
  title = {Poststack seismic data denoising via dynamic guided learning},
  author = {Javier Torres-Quintero and Paul Goyes-Peñafiel and Ana Gabriela Mantilla Dulcey and Henry Arguello},
  year = {2025},
  journal = {The Leading Edge},
  note = {Metadata last verified 2026-07-29}
}