Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 33, issue 2
Articles | Volume 33, issue 2
https://doi.org/10.5194/npg-33-173-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-33-173-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 33, issue 2
Research article
 | 
20 Apr 2026
Research article |  | 20 Apr 2026

Bayesian inference based on algorithms: MH, HMC, MALA and Lip-MALA for prestack seismic inversion

Richard Perez-Roa, Saba Infante, Gabriel Barragan, and Raul Manzanilla

Viewed

Total article views: 5,335 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,325 1,433 577 5,335 199 282
  • HTML: 3,325
  • PDF: 1,433
  • XML: 577
  • Total: 5,335
  • BibTeX: 199
  • EndNote: 282
Views and downloads (calculated since 21 Oct 2024)
Cumulative views and downloads (calculated since 21 Oct 2024)

Viewed (geographical distribution)

Total article views: 5,335 (including HTML, PDF, and XML) Thereof 5,246 with geography defined and 89 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 07 Oct 2026
Download
Short summary
We explored four methods to improve how underground rock properties are estimated from seismic data. By comparing these methods on both simulated and real-world oilfield data, we found that techniques using gradient information give better accuracy but require more computing time. Our results help guide the choice of method depending on whether speed or precision is more important in subsurface exploration.
Read more
Share