Reply to comment by D. Gibert and P. Sailhac on “Self‐potential signals associated with preferential groundwater flow pathways in sinkholes”

Revil, A.; Jardani, J.; Dupont, Jean-Paul

doi:10.1029/2007jb005396

Cited by 4 publications

(1 citation statement)

References 29 publications

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“…Another point that deserves comment is the relative merits of the cross-correlation approach with respect to the use of wavelet analysis. This has been discussed extensively in two papers (Crespy et al, 2008;Revil et al, 2008) that are uncited by J09. However, most of these works are outdated by recent development in selfpotential tomography and self-potential parametric inversion algorithms.…”

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confidence: 98%

Comment on “Review of self-potential methods in hydrogeophysics” by L. Jouniaux et al. [C. R. Geoscience 341 (2009) 928–936]

Revil

2010

Comptes Rendus. Géoscience

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confidence: 98%

Comment on “Review of self-potential methods in hydrogeophysics” by L. Jouniaux et al. [C. R. Geoscience 341 (2009) 928–936]

Revil

2010

Comptes Rendus. Géoscience

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Self-potential data inversion utilizing the Bat optimizing algorithm (BOA) with various application cases

2022

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The Bat optimizing algorithm (BOA) is one of the metaheuristic algorithms and applied here to interpret self-potential (SP) data. The BOA is depending upon a bat echolocation behavior for global optimization, which the global optimum solution reached at the suggested minimum value of the objective function. The best interpretive source parameters for the subsurface structures occurred at the minimal the objective function value (global best solution). The BOA is applied to 2D SP anomaly data to estimate the characteristic source parameters (i.e., the depth to center, amplitude coefficient, origin location, geometric shape factor, and polarization and inclination angle of the causative buried structure). The BOA can be applied to single and multiple source structures in the restricted class of simple geometric shapes, which these bodies help in the validation of the subsurface ore and mineral targets. The stability and efficiency of the proposed BOA have been examined by several synthetic examples. In addition, three different real field examples from Germany and Indonesia have been successfully applied to ore and mineral investigation and geological structure studies. In general, the achieved results are in good agreement with the available borehole data and results mentioned in the literature.

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Comment on “A fast interpretation of self-potential data using the depth from extreme points method” (M. Fedi and M. A. Abbas, 2013, Geophysics, 78, no. 2, E107–E116)

Revil

2013

GEOPHYSICS

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Reply to comment by D. Gibert and P. Sailhac on “Self‐potential signals associated with preferential groundwater flow pathways in sinkholes”

Abstract: Citation: Revil, A., J. Jardani, and J. P. Dupont (2008), Reply to comment by D. Gibert and P. Sailhac on ''Self-potential signals associated with preferential groundwater flow pathways in sinkholes,''

Cited by 4 publications

References 29 publications

Comment on “Review of self-potential methods in hydrogeophysics” by L. Jouniaux et al. [C. R. Geoscience 341 (2009) 928–936]

Comment on “Review of self-potential methods in hydrogeophysics” by L. Jouniaux et al. [C. R. Geoscience 341 (2009) 928–936]

Self-potential data inversion utilizing the Bat optimizing algorithm (BOA) with various application cases

Comment on “A fast interpretation of self-potential data using the depth from extreme points method” (M. Fedi and M. A. Abbas, 2013, Geophysics, 78, no. 2, E107–E116)

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