1997
DOI: 10.1190/1.1444272
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1-D inversion of resistivity and induced polarization data for the least number of layers

Abstract: An automatic inverse method has been developed for generating layered earth models from electrical sounding data. The models have the minimum number of layers required to fit a resistivity sounding curve or a combined resistivity and induced polarization sounding. The ground is modeled using a very large number of thin layers to accommodate arbitrary variations. The properties of the layers are optimized using as a constraint the L 1 norm of the vertical derivative of the resistivity distribution. The use of l… Show more

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Cited by 30 publications
(11 citation statements)
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“…However, it is independent of resistivity for homogeneous media; therefore, the equation can be the basis of first‐order approximations or imaging techniques as developed by Pérez‐Flores, Méndez‐Delgado, and Gómez‐Treviño (). Updating the kernel and solving again for resistivity leads to iterative algorithms similar to those developed for small perturbations (Esparza and Gómez‐Treviño ).…”
Section: Sensitivity Function and Elementary Contributionsmentioning
confidence: 99%
“…However, it is independent of resistivity for homogeneous media; therefore, the equation can be the basis of first‐order approximations or imaging techniques as developed by Pérez‐Flores, Méndez‐Delgado, and Gómez‐Treviño (). Updating the kernel and solving again for resistivity leads to iterative algorithms similar to those developed for small perturbations (Esparza and Gómez‐Treviño ).…”
Section: Sensitivity Function and Elementary Contributionsmentioning
confidence: 99%
“…After automatic interpretation of each sounding, the interpreted data is merged to form a quasi 2-D section. Many 1-D inversion techniques for interpretation electrical sounding have been published (Oldenburg, 1978;Constable et al, 1987, Zohdy, 1989Esparza and Gomez-Trevino, 1997). This technique is useful in stratified earth models, meaning basin conditions with slight or gradual lateral resistivity variations, and gradual changes of layer thickness.…”
Section: Brief Overview Of Methodsmentioning
confidence: 98%
“…ψ is a strictly convex and decreasing function such that φ(t) = inf w (wt 2 + ψ(w)), and for the case of potential function in (11), ψ(w) = wβ 2 − 2 √ wβ + 1. The half quadratic procedure is based on alternating minimizations over m and b. Charbonnier et al proved convergence …”
Section: A Smooth Algorithmmentioning
confidence: 99%