Articles | Volume 6, issue 1
https://doi.org/10.5194/gi-6-71-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gi-6-71-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Feb 2017
Research article |
| 06 Feb 2017
Inversion of residual gravity anomalies using tuned PSO
Department of Applied Geophysics, IIT(ISM), Dhanbad – 826 004, India
Upendra Kumar Singh
Department of Applied Geophysics, IIT(ISM), Dhanbad – 826 004, India
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Cited
19 citations as recorded by crossref.
- Exploring Fault Plane Geometry through Metaheuristic Bat Algorithm (MBA) Analysis of Potential Field Data: Environmental and Engineering Applications K. Essa & Z. Diab 10.1007/s00603-024-04198-6
- Gravity data inversion for parameters assessment over geologically faulted structures—A hybrid particle swarm optimization and gravitational search algorithm technique N. Kumar et al. 10.1111/1365-2478.13638
- Gravity data interpretation using the particle swarm optimisation method with application to mineral exploration K. Essa & M. Munschy 10.1007/s12040-019-1143-4
- Gravity profiles interpretation applying a metaheuristic particle optimization algorithm of mineralized bodies resembled by finite elements K. Essa et al. 10.1016/j.heliyon.2024.e31391
- A Novel Method for Estimating Model Parameters From Geophysical Anomalies of Structural Faults Using the Manta-Ray Foraging Optimization U. Ben et al. 10.3389/feart.2022.870299
- Gravity inversion of 2D fault having variable density contrast using particle swarm optimization A. Roy & T. Kumar 10.1111/1365-2478.13094
- Gravity inversion of basement relief using Particle Swarm Optimization by automated parameter selection of Fourier coefficients A. Roy et al. 10.1016/j.cageo.2021.104875
- Stability and uncertainty assessment of geoelectrical resistivity model parameters: a new hybrid metaheuristic algorithm and posterior probability density function approach K. Sarkar et al. 10.5194/npg-31-7-2024
- Mapping magnetic lineaments and subsurface basement beneath parts of Lower Benue Trough (LBT), Nigeria: Insights from integrating gravity, magnetic and geologic data M. Abdullahi et al. 10.1007/s12040-018-1038-9
- Anomaly shape inversion via model reduction and PSO Z. Fernández-Muñiz et al. 10.1016/j.cageo.2020.104492
- Gradient descent fusion for gravity and magnetic data C. Dubey et al. 10.1007/s12040-024-02334-y
- Gravity data inversion applying a metaheuristic Bat algorithm for various ore and mineral models K. Essa & Z. Diab 10.1016/j.jog.2022.101953
- GravPSO2D: A Matlab package for 2D gravity inversion in sedimentary basins using the Particle Swarm Optimization algorithm J. Pallero et al. 10.1016/j.cageo.2020.104653
- Source parameters estimation from gravity data using Bat algorithm with application to geothermal and volcanic activity studies K. Essa & Z. Diab 10.1007/s13762-022-04263-z
- Novel technique for the interpretation of gravity anomalies over geologic structures with idealized geometries using the Manta ray foraging optimization U. Ben et al. 10.1016/j.jaesx.2021.100070
- 2-D gravity inverse modelling of anticlinal structure using improved particle swarm optimization (IPSO) A. Eshaghzadeh & A. Hajian 10.1007/s12517-021-07798-6
- Evaluation of the parameters of the fault-like geologic structure from the gravity anomalies applying the particle swarm K. Essa 10.1007/s12665-021-09786-1
- Gravity data interpretation by a two-sided fault-like geologic structure using the global particle swarm technique K. Essa et al. 10.1016/j.pepi.2020.106631
- Fault parameters assessment from the gravity data profiles applying the global particle swarm optimization K. Essa et al. 10.1016/j.petrol.2021.109129
19 citations as recorded by crossref.
- Exploring Fault Plane Geometry through Metaheuristic Bat Algorithm (MBA) Analysis of Potential Field Data: Environmental and Engineering Applications K. Essa & Z. Diab 10.1007/s00603-024-04198-6
- Gravity data inversion for parameters assessment over geologically faulted structures—A hybrid particle swarm optimization and gravitational search algorithm technique N. Kumar et al. 10.1111/1365-2478.13638
- Gravity data interpretation using the particle swarm optimisation method with application to mineral exploration K. Essa & M. Munschy 10.1007/s12040-019-1143-4
- Gravity profiles interpretation applying a metaheuristic particle optimization algorithm of mineralized bodies resembled by finite elements K. Essa et al. 10.1016/j.heliyon.2024.e31391
- A Novel Method for Estimating Model Parameters From Geophysical Anomalies of Structural Faults Using the Manta-Ray Foraging Optimization U. Ben et al. 10.3389/feart.2022.870299
- Gravity inversion of 2D fault having variable density contrast using particle swarm optimization A. Roy & T. Kumar 10.1111/1365-2478.13094
- Gravity inversion of basement relief using Particle Swarm Optimization by automated parameter selection of Fourier coefficients A. Roy et al. 10.1016/j.cageo.2021.104875
- Stability and uncertainty assessment of geoelectrical resistivity model parameters: a new hybrid metaheuristic algorithm and posterior probability density function approach K. Sarkar et al. 10.5194/npg-31-7-2024
- Mapping magnetic lineaments and subsurface basement beneath parts of Lower Benue Trough (LBT), Nigeria: Insights from integrating gravity, magnetic and geologic data M. Abdullahi et al. 10.1007/s12040-018-1038-9
- Anomaly shape inversion via model reduction and PSO Z. Fernández-Muñiz et al. 10.1016/j.cageo.2020.104492
- Gradient descent fusion for gravity and magnetic data C. Dubey et al. 10.1007/s12040-024-02334-y
- Gravity data inversion applying a metaheuristic Bat algorithm for various ore and mineral models K. Essa & Z. Diab 10.1016/j.jog.2022.101953
- GravPSO2D: A Matlab package for 2D gravity inversion in sedimentary basins using the Particle Swarm Optimization algorithm J. Pallero et al. 10.1016/j.cageo.2020.104653
- Source parameters estimation from gravity data using Bat algorithm with application to geothermal and volcanic activity studies K. Essa & Z. Diab 10.1007/s13762-022-04263-z
- Novel technique for the interpretation of gravity anomalies over geologic structures with idealized geometries using the Manta ray foraging optimization U. Ben et al. 10.1016/j.jaesx.2021.100070
- 2-D gravity inverse modelling of anticlinal structure using improved particle swarm optimization (IPSO) A. Eshaghzadeh & A. Hajian 10.1007/s12517-021-07798-6
- Evaluation of the parameters of the fault-like geologic structure from the gravity anomalies applying the particle swarm K. Essa 10.1007/s12665-021-09786-1
- Gravity data interpretation by a two-sided fault-like geologic structure using the global particle swarm technique K. Essa et al. 10.1016/j.pepi.2020.106631
- Fault parameters assessment from the gravity data profiles applying the global particle swarm optimization K. Essa et al. 10.1016/j.petrol.2021.109129
Latest update: 14 Dec 2024
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.
A new technique, tuned PSO, is developed for optimal convergence, avoiding traps of local minima...
