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- Title
Spectral Decomposition Using the CEEMD Method: A Case Study from the Carpathian Foredeep.
- Authors
Kwietniak, Anna; Cichostępski, Kamil; Kasperska, Monika
- Abstract
The purpose of this work is to select the optimal spectral decomposition (SD) method for channel detection in the Miocene strata of the Carpathian Fordeep, SE Poland. For analysis, two spectral decomposition algorithms were tested on 3D seismic data: the first, based on Fast Fourier Transform (FFT), and second, on Complete Ensemble Empirical Mode Decomposition (CEEMD). Additionally the results of instantaneous frequency (IF) were compared with the results of peak frequency (PF) computed after the CEEMD. Both algorithms of SD enabled us to interpret channels, but the results are marginally different, i.e. the FFT shows more coarse, linear structures, that are desirable for channel interpretation, whereas the CEEMD does not highlight these structures as clearly and shows more, what the authors believe to be, noise.
- Subjects
CARPATHIAN Mountains; HILBERT-Huang transform; MIOCENE paleontology; MATRIX decomposition; FOURIER transforms; MOUNTAIN environmental conditions
- Publication
Acta Geophysica, 2016, Vol 64, Issue 5, p1525
- ISSN
1895-6572
- Publication type
Article
- DOI
10.1515/acgeo-2016-0065