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Nonlocal response functions; application to processing BEAR data

V. V. Plotkin, A. Yu. Belinskaya and P. A. Gavrysh
Nonlocal response functions; application to processing BEAR data
Russian Geology and Geophysics (September 2009) 50 (9): 808-814


It has been suggested that regional array MTS data be processed with an algorithm based on the nonlocal response of laterally heterogeneous subsurface to an arbitrary electromagnetic excitation. The algorithm is tested with synthetic models which show that the inversion quality can be improved by accumulation of information through repeated measurements, at either changing or fixed array configurations. Besides the array configuration, the inversion quality depends on the selected size of the survey area. The choice of the area size defines the inversion conditions in terms of choice between the magnetic and electric mode for correlation of electromagnetic potentials. The algorithm has been applied to data acquired during the BEAR Project in the Fennoscandian shield. Preliminary results indicate a spatial correlation between conductivity minimums and Moho depth maximums. The apparent resistivity maps obtained with the suggested algorithm highlight the boundaries between the Lapland-Kola, Karelia, and Svecofennia tectonic provinces.

ISSN: 1068-7971
Serial Title: Russian Geology and Geophysics
Serial Volume: 50
Serial Issue: 9
Title: Nonlocal response functions; application to processing BEAR data
Affiliation: Russian Academy of Sciences, Trofimuk Institute of Petroleum Geology and Geophysics, Novosibirsk, Russian Federation
Pages: 808-814
Published: 200909
Text Language: English
Publisher: Allerton Press, New York, NY, United States
References: 15
Accession Number: 2021-070315
Categories: Solid-earth geophysicsApplied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. sketch maps
N58°00'00" - N70°00'00", E18°00'00" - E36°00'00"
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2021, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 2021
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