Articles | Volume 6, issue 1
https://doi.org/10.5194/gi-6-71-2017
https://doi.org/10.5194/gi-6-71-2017
Research article
 | 
06 Feb 2017
Research article |  | 06 Feb 2017

Inversion of residual gravity anomalies using tuned PSO

Ravi Roshan and Upendra Kumar Singh

Related authors

Geological stratigraphy and spatial distribution of microfractures over the Costa Rica convergent margin, Central America – a wavelet-fractal analysis
Upendra K. Singh, Rahul Prajapati, and Thinesh Kumar
Geosci. Instrum. Method. Data Syst., 7, 179–187, https://doi.org/10.5194/gi-7-179-2018,https://doi.org/10.5194/gi-7-179-2018, 2018
Short summary
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
Geosci. Instrum. Method. Data Syst., 6, 193–198, https://doi.org/10.5194/gi-6-193-2017,https://doi.org/10.5194/gi-6-193-2017, 2017
Short summary
Continuous wavelet transform and Euler deconvolution method and their application to magnetic field data of Jharia coalfield, India
Arvind Singh and Upendra Kumar Singh
Geosci. Instrum. Method. Data Syst., 6, 53–69, https://doi.org/10.5194/gi-6-53-2017,https://doi.org/10.5194/gi-6-53-2017, 2017
Short summary

Related subject area

Simulation
Study on the influence of topography on wind shear-numerical simulation based on WRF-CALMET
Xingyu Wang, Yuhong Lei, Baolong Shi, Zhiyi Wang, Xu Li, and Jinyan Wang
EGUsphere, https://doi.org/10.5194/egusphere-2024-609,https://doi.org/10.5194/egusphere-2024-609, 2024
Short summary
Overview of the main radiation transport codes
Nikolaos Schetakis, Rodrigo Crespo, José Luis Vázquez-Poletti, Mariano Sastre, Luis Vázquez, and Alessio Di Iorio
Geosci. Instrum. Method. Data Syst., 9, 407–415, https://doi.org/10.5194/gi-9-407-2020,https://doi.org/10.5194/gi-9-407-2020, 2020
Short summary
Optimal site selection for sitting a solar park using multi-criteria decision analysis and geographical information systems
Andreas Georgiou and Dimitrios Skarlatos
Geosci. Instrum. Method. Data Syst., 5, 321–332, https://doi.org/10.5194/gi-5-321-2016,https://doi.org/10.5194/gi-5-321-2016, 2016
Short summary
High-fidelity subsurface thermal model as part of a Martian atmospheric column model
M. D. Paton, A.-M. Harri, T. Mäkinen, and H. Savijärvi
Geosci. Instrum. Method. Data Syst., 2, 17–27, https://doi.org/10.5194/gi-2-17-2013,https://doi.org/10.5194/gi-2-17-2013, 2013
Air shower simulation for background estimation in muon tomography of volcanoes
S. Béné, P. Boivin, E. Busato, C. Cârloganu, C. Combaret, P. Dupieux, F. Fehr, P. Gay, P. Labazuy, I. Laktineh, J.-F. Lénat, D. Miallier, L. Mirabito, V. Niess, A. Portal, and B. Vulpescu
Geosci. Instrum. Method. Data Syst., 2, 11–15, https://doi.org/10.5194/gi-2-11-2013,https://doi.org/10.5194/gi-2-11-2013, 2013

Cited articles

Abdelrahman, E. M., Bayoumi, A. I., Abdelhady, Y. E., Gobashy, M. M., and El-Araby, H. M.: Gravity interpretation using correlation factors between successive least-squares residual anomalies, Geophysics, 54, 1614–1621, 1989.
Aghajani, H., Moradzadeh, A., and Zeng, H.: Normalized full gradient of gravity anomaly method and its application to the Mobrun Sulfide Body, Canada, World Appl. Sci. J., 6, 393–400, 2009.
Alvarez, J. P. F., Martìnez, F., Gonzalo, E. G., and Pèrez, C. O. M.: Application of the particle swarm optimization algorithm to the solution and appraisal of the vertical electrical sounding inverse problem, in: proceedings of the 11th Annual Conference of the international Association of Mathematical Geology (IAMG06), Li_ege, Belgium, CDROM, 2006.
Barrett, T. J., Cattalani, S., Holy, L., Riopel, J., and Lafleur, P. J.: Massive sulphide deposits of the Noranda area, Quebec .IV. The Mobrun mine, Can. J. Earth Sci., 29, 1349–1374, https://doi.org/10.1139/e92-110, 1992.
Boeringer, D. W. and Werner, D. H.: Particle swarm optimization versus genetic algorithms for phased array synthesis, IEEE Transactions on Antennas and Propagation, 52, 771–779, 2004.
Download
Short summary
A new technique, tuned PSO, is developed for optimal convergence, avoiding traps of local minima and computing the model parameters: amplitude coefficient factor, shape factor and depth. A number of exercises were done to select the PSO learning parameters. The applicability and efficacy of the proposed method is implemented on synthetic and field gravity anomalies. The analysed results were compared with published results by other methods that show a significant agreement with the real model.