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

Revil, A.

doi:10.1190/geo2013-0052.1

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…The key difference between DEXP and CWT is the respective choices of the power‐law exponent. In the DEXP case, the exponent depends on the differentiation order and the source properties (through the SI), while in the CWT formulation the exponent depends only on the differentiation order (Revil, 2013). Fedi (2007) discussed the pro and cons of using an imaging against an inversion approach for source depth estimation, since inversion codes of natural potential field also proved their efficiency for spontaneous potential (Soueid Ahmed et al., 2013) and gravity (Fedi, 2007; Florio & Fedi, 2018).…”

Section: Introductionmentioning

confidence: 99%

Advanced Potential Field Analysis Applied to Mise‐à‐la‐Masse Surveys for Leakage Detection

Mary

Peruzzo

et al. 2022

JGR Solid Earth

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The Mise-à-la-Masse (MALM) method is a variation of the classical geo-electrical investigation approaches, in which direct current (DC) is injected into the ground by two electrodes and the difference is measured between two other points. MALM was originally developed to delineate the shape of electrically conductive mineral bodies for mining exploration purposes (Parasnis, 1967;Schlumberger, 1920). MALM traditional implementation assumes that the conductive (ore) body channels current in such an effective manner so that the characteristics of the surrounding medium are irrelevant and interpretation can be limited to the qualitative shape of the voltage map distribution, the contour isolines giving an estimate of the anomaly extent and orientation. This classic MALM approach has found different applications in recent times, in situations where it is useful to verify the electrical connection between one portion and another of the subsoil (e.g.,

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Section: Introductionmentioning

confidence: 99%

Advanced Potential Field Analysis Applied to Mise‐à‐la‐Masse Surveys for Leakage Detection

Mary

Peruzzo

et al. 2022

JGR Solid Earth

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Detecting induced polarisation effects in time-domain data: a modelling study using stretched exponentials

Kang

Oldenburg

Heagy

2019

Exploration Geophysics

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The potential for extracting and interpreting induced polarization (IP) data from airborne surveys is now broadly recognized. There is, however, still considerable discussion about the conditions under which the technique can provide knowledge about the subsurface and thus, its practical applications. Foremost among these is whether, or under what conditions, airborne IP can detect chargeable bodies at depth. To investigate, we focus on data obtained from a coincident-loop time-domain system. Our analysis is expedited by using a stretched exponential rather than a Cole-Cole model to represent the IP phenomenon. Our paper begins with an example that illuminates the physical understanding about how negative 1 arXiv:1909.12993v1 [physics.geo-ph] 28 Sep 2019 transients (the typical signature of an IP signal in airborne data) can be generated. The effects of the background conductivity are investigated; this study shows that a moderately conductive and chargeable target in a resistive host is an ideal scenario for generating strong IP signals. We then examine the important topic of estimating the maximum depth of the chargeable target that can generate negative transients. Lastly, some common chargeable earth-materials are discussed and their typical IP time-domain features are analyzed. The results presented in this paper can be reproduced and further explored by accessing the provided Jupyter notebooks.

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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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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)

Cited by 3 publications

References 32 publications

Advanced Potential Field Analysis Applied to Mise‐à‐la‐Masse Surveys for Leakage Detection

Advanced Potential Field Analysis Applied to Mise‐à‐la‐Masse Surveys for Leakage Detection

Detecting induced polarisation effects in time-domain data: a modelling study using stretched exponentials

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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