Ana Gabriela MantillaComputational Geophysics · Scientific Machine Learning
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journal article · 2025

Poststack seismic data denoising via dynamic guided learning

Javier Torres-Quintero · Paul Goyes-Peñafiel · Ana Gabriela Mantilla Dulcey · Luis Rodríguez-López · José Sanabria-Gómez · Henry Arguello

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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. Luis Rodríguez-López
  5. José Sanabria-Gómez
  6. Henry Arguello

Citation

Javier Torres-Quintero, Paul Goyes-Peñafiel, Ana Gabriela Mantilla Dulcey, Luis Rodríguez-López, José Sanabria-Gómez, Henry Arguello (2025). Poststack seismic data denoising via dynamic guided learning. The Leading Edge.

BibTeX

@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 Luis Rodríguez-López and José Sanabria-Gómez and Henry Arguello},
  year = {2025},
  journal = {The Leading Edge},
  doi = {10.1190/tle44090692.1},
  url = {https://doi.org/10.1190/tle44090692.1},
  note = {Metadata last verified 2026-08-06}
}

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