Calibration and filtering strategies for frequency domain electromagnetic data

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Abstract

echniques for processing frequency-domain electromagnetic (FDEM) data that address systematic instrument errors and random noise are presented, improving the ability to invert these data for meaningful earth models that can be quantitatively interpreted. A least-squares calibration method, originally developed for airborne electromagnetic datasets, is implemented for a ground-based survey in order to address systematic instrument errors, and new insights are provided into the importance of calibration for preserving spectral relationships within the data that lead to more reliable inversions. An alternative filtering strategy based on principal component analysis, which takes advantage of the strong correlation observed in FDEM data, is introduced to help address random noise in the data without imposing somewhat arbitrary spatial smoothing.


Read More: http://library.seg.org/doi/abs/10.4133/1.3445431

Additional publication details

Publication type Conference Paper
Publication Subtype Conference Paper
Title Calibration and filtering strategies for frequency domain electromagnetic data
DOI 10.4133/1.3445431
Year Published 2010
Language English
Publisher Society of Exploration Geophysicists
Contributing office(s) Crustal Geophysics and Geochemistry Science Center
Description 7 p.
Larger Work Type Book
Larger Work Subtype Conference publication
Larger Work Title Symposium on the Application of Geophysics to Engineering and Environmental Problems 2010
First page 183
Last page 189
Conference Title Symposium on the Application of Geophysics to Engineering and Environmental Problems 2010