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

Singh, Kunal Kishore; Singh, Upendra Kumar

doi:https://doi.org/10.5194/gi-6-193-2017

Articles | Volume 6, issue 1

https://doi.org/10.5194/gi-6-193-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gi-6-193-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 6, issue 1

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

Data sets

Parabolic density function in sedimentary basin modeling: 18th Annual Convention and Seminar on Exploration Geophysics V. Chakravarthi, and C. V. Rao https://doi.org/10.1190/1.1836814

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.