Articles | Volume 30, issue 4
https://doi.org/10.5194/npg-30-435-2023
https://doi.org/10.5194/npg-30-435-2023
Research article
 | 
10 Oct 2023
Research article |  | 10 Oct 2023

The joint application of a metaheuristic algorithm and a Bayesian statistics approach for uncertainty and stability assessment of nonlinear magnetotelluric data

Mukesh, Kuldeep Sarkar, and Upendra K. Singh

Viewed

Total article views: 2,746 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,973 690 83 2,746 90 145
  • HTML: 1,973
  • PDF: 690
  • XML: 83
  • Total: 2,746
  • BibTeX: 90
  • EndNote: 145
Views and downloads (calculated since 25 Apr 2023)
Cumulative views and downloads (calculated since 25 Apr 2023)

Viewed (geographical distribution)

Total article views: 2,746 (including HTML, PDF, and XML) Thereof 2,654 with geography defined and 92 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 09 Feb 2026
Download
Short summary
A hybrid weighted particle swarm optimization (wPSO) and gravitational search algorithm (GSA) is compared with individual PSO and GSA methods to assess 1-D resistivity models from magnetotelluric data across diverse geological terrains. This involved creating numerous models to match apparent resistivity and phase curves, selecting the best-fit models, and conducting posterior PDF, correlation matrix, and stability analysis to improve the mean model's accuracy with minimized uncertainty.
Share