Articles | Volume 6, issue 1
https://doi.org/10.5194/gi-6-193-2017
https://doi.org/10.5194/gi-6-193-2017
Research article
 | 
10 Apr 2017
Research article |  | 10 Apr 2017

Application of particle swarm optimization for gravity inversion of 2.5-D sedimentary basins using variable density contrast

Kunal Kishore Singh and Upendra Kumar Singh

Viewed

Total article views: 2,040 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,209 708 123 2,040 108 125
  • HTML: 1,209
  • PDF: 708
  • XML: 123
  • Total: 2,040
  • BibTeX: 108
  • EndNote: 125
Views and downloads (calculated since 25 Aug 2016)
Cumulative views and downloads (calculated since 25 Aug 2016)

Viewed (geographical distribution)

Total article views: 2,040 (including HTML, PDF, and XML) Thereof 1,904 with geography defined and 136 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Particle swarm optimization is developed to estimate the model parameters of a 2.5-D sedimentary basin. PSO have been implemented on synthetic data and two field data. An observation has been made that PSO is affected by some levels of noise, but estimated depths are close to the true depths. The PSO results are well correlated with borehole samples and provide more geological viability than Marquardt results. Despite its long computation time, it is very simple to implement.