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Static-shift suppression and anti-interference signal processing for CSAMT based on Guided Image Filtering

Static-shift suppression and anti-interference signal processing for CSAMT based on Guided Image Filtering

Authors :
Enhua Jiang
Rujun Chen
Debin Zhu
Weiqiang Liu
Regean Pitiya
Source :
Earthquake Research Advances, Vol 2, Iss 1, Pp 100117- (2022)
Publication Year :
2022
Publisher :
KeAi Communications Co. Ltd., 2022.

Abstract

Shallow conductive heterogeneity can lead to static shifts ain the apparent resistivity sounding curve of controlled-source audio-frequency magnetotellurics (CSAMT). The static effect will shift the apparent resistivity curves along with axial log-log coordinates. Such an effect, if not properly processed, can distort the resistivity of rock formation and the depth of interfaces, and even make the geological structures unrecognizable. In this paper, we discuss the reasons and characteristics of the static shift and summarize the previous studies regarding static shift correction. Then, we propose the Guided Image Filtering algorithm to suppress static shifts in CSAMT. In detail, we use the multi-window superposition method to superimpose 1D signals into a 2D matrix image, which is subsequently processed with Guided Image Filtering. In the synthetic model study and field examples, the Guided Image Filtering algorithm has effectively corrected and suppressed static shifts, and finally improved the precision of data interpretation.

Details

Language :
English
ISSN :
27724670
Volume :
2
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Earthquake Research Advances
Publication Type :
Academic Journal
Accession number :
edsdoj.b834027f47f44391aff97f7afe9aa665
Document Type :
article
Full Text :
https://doi.org/10.1016/j.eqrea.2022.100117