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Novel pre-stack data confinement and selection for magnetotelluric data processing and its application to data of the Eastern Karoo Basin, South Africa

Magnetotellurics (MT) is a geophysical method that is able to image the electrical conductivity structure of the subsurface by recording time series of natural electromagnetic (EM) field variations. During the data processing these time series are divided into small segments and for each segment spe...

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Bibliographic Details
Authors and Corporations: Platz, Anna (Author), Weckmann, Ute (Degree supervisor), Junge, Andreas (Degree supervisor), Koppitz, Jörg (Degree supervisor), Universität Potsdam (Degree granting institution)
Other Authors: Weckmann, Ute (AkademischeR BetreuerIn) 1973- , Junge, Andreas (AkademischeR BetreuerIn) 1956- , Koppitz, Jörg (AkademischeR BetreuerIn)
Dissertation Note: Dissertation, Universität Potsdam, 2018
Type of Resource: Book Thesis
Language: English
published:
Potsdam 2018
Subjects:
Source: Verbunddaten SWB
Subject: DK 550.837.6
DK 550.8.05
DK 553.981
DK 552.52
DK 916.875
DK 378.245
Call number: 19.3118 4.
Description
Summary: Magnetotellurics (MT) is a geophysical method that is able to image the electrical conductivity structure of the subsurface by recording time series of natural electromagnetic (EM) field variations. During the data processing these time series are divided into small segments and for each segment spectral values are computed which are typically averaged in a statistical manner to obtain MT transfer functions. Unfortunately, the presence of man-made EM noise sources often deteriorates a significant amount of the recorded time series resulting in disturbed transfer functions. Many advanced processing techniques, e.g. robust statistics, pre-stack data selection or remote reference, have been developed to tackle this problem. The first two techniques reduce the amount of outliers and noise in the data whereas the latter approach removes noise by using data from another MT station. However, especially in populated regions the data processing is still quite challenging even with these approaches. In this thesis, I present two novel pre-stack…
Item Description: Literaturverzeichnis Seite 123-131
Tag der Disputation: 18.07.2018
Physical Description: xx, 131 Seiten; Illustrationen, Diagramme
Call number: 19.3118 4.