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Influence of "geologic noise" on magnetotelluric-sounding data and methods for taking it into account

A. V. Pospeev and E. A. Sen'
Influence of "geologic noise" on magnetotelluric-sounding data and methods for taking it into account
Russian Geology and Geophysics (November 2020) 61 (11): 1313-1319

Abstract

The paper deals with the problem of interpreting magnetotelluric data in the differentiated low-conductivity upper part of the section. An observation network often makes it impossible to describe a spatial irregularity spectrum completely, so, using 3D data inversion comes across a significant spatial equivalence of the solution. The effect of irregular conductivity of the upper part of the section at one of the sites is considered by the comprehensively studied near-field transient electromagnetic sounding in dense 3D networks. A technique is proposed for choosing the directions of the minimum gradient of anomaly-causing conductivity and for selecting corresponding quasi-longitudinal curves for estimating the deeper parameters of the model. The advantage of using quasi-longitudinal curves is shown, and the high geological efficiency of the developed technique for interpreting magnetotelluric data is demonstrated at one of the sites of the Siberian Platform.


ISSN: 1068-7971
Serial Title: Russian Geology and Geophysics
Serial Volume: 61
Serial Issue: 11
Title: Influence of "geologic noise" on magnetotelluric-sounding data and methods for taking it into account
Affiliation: Russian Academy of Sciences, Institute of the Earth's Crust, Irkutsk, Russian Federation
Pages: 1313-1319
Published: 202011
Text Language: English
Publisher: Allerton Press, New York, NY, United States
References: 7
Accession Number: 2021-006952
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. sect.
N57°00'00" - N60°00'00", E130°00'00" - E139°00'00"
Secondary Affiliation: SIGMA-GEO, RUS, Russian Federation
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2021, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 202105
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