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Journals / Turkish Journal of Earth Sciences / 2018 / Cilt: 27 - Sayı: 2

Resistivity inversion of transversely isotropic media

Ertan PEKŞEN
Türker YAS
Pages
152–166
Publication Date
2022-11-05
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Furthermore, thepresent method was also tested on a field dataset.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, we have suggested a finite difference algorithm for resistivity forward and inverse modeling with electricallyanisotropic media in applied geophysics.
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Key Findings & Data:This means that the resistivity section obtained by an inversion method that does not incorporate electrical anisotropy givesthe wrong subsurface structure.
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Conclusion & Impact:Furthermore, thepresent method was also tested on a field dataset.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this paper, we have suggested a finite difference algorithm for resistivity forward and inverse modeling with electricallyanisotropic media in applied geophysics. Electrical anisotropy affects the surface measurement in a fashion that may make interpretationerroneous. This means that the resistivity section obtained by an inversion method that does not incorporate electrical anisotropy givesthe wrong subsurface structure. We used a classical multielectrode dataset of a profile for estimating not only horizontal but verticalresistivity as well. Thus, the electrical anisotropy can be calculated. Finally, the finite difference mesh can be corrected by using theestimated anisotropic coefficient. The result of the developed algorithm was verified with a 2-layered analytic solution. Furthermore, thepresent method was also tested on a field dataset.

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Cite This Article

PEKŞEN, E., YAS, T. (2022). Resistivity inversion of transversely isotropic media. Turkish Journal of Earth Sciences, Cilt: 27 - Sayı: 2, 152–166. https://ajindex.com/articles/603069

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