Journal cover Journal topic
Geoscientific Instrumentation, Methods and Data Systems An interactive open-access journal of the European Geosciences Union
doi:10.5194/gi-2016-10
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
25 Aug 2016
Review status
A revision of this discussion paper was accepted for the journal Geoscientific Instrumentation, Methods and Data Systems (GI) and is expected to appear here in due course.
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 Department of Applied Geophysics, Indian School of Mines, Dhanbad-826004, India
Abstract. Particle swarm optimization (PSO) is a global optimization technique that works similarly to swarms of birds searching for food. A Matlab code in PSO algorithm is developed to estimate the depth to the bottom of a 2.5-D sedimentary basin and coefficients of regional background from observed gravity anomalies. The density contrast within the source is assumed to be varying parabolically with depth. Initially, the PSO algorithm is applied on synthetic data with and without some Gaussian noise and its validity is tested by calculating the depth of the Gediz Graben, Western Anatolia and Godavari sub-basin, India. The Gediz Graben consists of Neogen sediments and the metamorphic complex forms the basement of the Graben. A thick uninterrupted sequence of Permian-Triassic and partly Jurassic and Cretaceous sediments forms the Godavari sub-basin. The PSO results are better than the results obtained by Marquardt method and the results are well correlated with borehole information.

Citation: Singh, K. K. and Singh, U. K.: Application of particle swarm optimization for gravity inversion of 2.5-D sedimentary basins using variable density contrast, Geosci. Instrum. Method. Data Syst. Discuss., doi:10.5194/gi-2016-10, in review, 2016.
Kunal Kishore Singh and Upendra Kumar Singh
Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'comment', Anonymous Referee #1, 26 Sep 2016 Printer-friendly Version 
AC2: 'Reply on manuscript GI-2016-10', Upendra Singh, 18 Jan 2017 Printer-friendly Version Supplement 
 
RC2: 'Ā«Application of particle swarm optimization for gravity 1 inversion of 2.5-D sedimentary basins using variable density contrastĀ» (authors Kunal Kishore Singh and Upendra Kumar Singh)', Vagif Gadirov, 18 Jan 2017 Printer-friendly Version Supplement 
AC3: 'Reply on manuscript GI-2016-10', Upendra Singh, 18 Jan 2017 Printer-friendly Version Supplement 
RC3: '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', Vagif Gadirov, 19 Jan 2017 Printer-friendly Version 
AC4: 'Re: manuscript(GI-2016-10)', Upendra Singh, 19 Jan 2017 Printer-friendly Version Supplement 
 
AC1: 'Reply on manuscript Gi-2016-10', Upendra Singh, 18 Jan 2017 Printer-friendly Version Supplement 
 
AC5: 'RE: Manuscript (gi-2016-10)', Upendra Singh, 19 Jan 2017 Printer-friendly Version Supplement 
RC4: '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', Vagif Gadirov, 23 Jan 2017 Printer-friendly Version 
 
RC5: 'comment on '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', Anonymous Referee #1, 24 Jan 2017 Printer-friendly Version 
AC6: 'Reply:GI-2016-10', Upendra Singh, 24 Jan 2017 Printer-friendly Version Supplement 
 
AC7: 'Reply:GI-2016-10', Upendra Singh, 24 Jan 2017 Printer-friendly Version Supplement 
Kunal Kishore Singh and Upendra Kumar Singh
Kunal Kishore Singh and Upendra Kumar Singh

Viewed

Total article views: 178 (including HTML, PDF, and XML)

HTML PDF XML Total Supplement BibTeX EndNote
144 27 7 178 7 8 8

Views and downloads (calculated since 25 Aug 2016)

Cumulative views and downloads (calculated since 25 Aug 2016)

Viewed (geographical distribution)

Total article views: 178 (including HTML, PDF, and XML)

Thereof 175 with geography defined and 3 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 24 Mar 2017
Publications Copernicus
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 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 viable than Marquardt results. Despite its long computation time, it is very simple to implement.
Particle swarm optimization is developed to estimate the model parameters of a 2.5-D sedimentary...
Share