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2017 | OriginalPaper | Buchkapitel

Lamellate Layer Convergence Algorithm Based on the Magnetotelluric Equivalence Principle

verfasst von : Rongjiang Tang, Xuben Wang, Lu Gan, Juntao Zhang

Erschienen in: Technology and Application of Environmental and Engineering Geophysics

Verlag: Springer Singapore

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Abstract

The non-uniqueness problem of inversion is a large obstacle in improving geophysical interpretation resolution. At present, the main factors which affect the non-uniqueness of the solutions of magnetotelluric sounding are equivalence and volume effect. For example, true parameters of low resistance lamellate layer are difficult to determine by inversion because of the ‘s’ equivalence, and we usually get the biased thickness and resistivity that meets equivalence condition, which is clearly not consistent with the actual situation. In order to make the inversion results correspond to the actual situation better, the new assistant algorithm based on the Marquardt inversion and equivalence principle was designed in this paper, and we used ‘S’ and ‘H’ equivalence principle flexibly to make the thickness and resistivity converge to a result that is more close to the actual situation. This method provides a convenient means of combining magnetotelluric sounding data with logging and seismology data to make associated interpretation or inversion, so that thickness and resistivity of target can be determined effectively.

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Literatur
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Zurück zum Zitat Shunfang Xu, Zhenning Li, Jinzhan Li. Electrical sounding curves S equivalence correction study in the dam survey. CT Theory and Applications[J]. 2003 12(1). 17–20. Shunfang Xu, Zhenning Li, Jinzhan Li. Electrical sounding curves S equivalence correction study in the dam survey. CT Theory and Applications[J]. 2003 12(1). 17–20.
Metadaten
Titel
Lamellate Layer Convergence Algorithm Based on the Magnetotelluric Equivalence Principle
verfasst von
Rongjiang Tang
Xuben Wang
Lu Gan
Juntao Zhang
Copyright-Jahr
2017
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-3244-8_24