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Application of the continuous wavelet transform on seismic data for mapping of channel deposits and gas detection at the CO 2 SINK site, Ketzin, Germany
Author(s) -
Kazemeini Sayed Hesammoddin,
Juhlin Christopher,
ZinckJørgensen Kim,
Norden Ben
Publication year - 2009
Publication title -
geophysical prospecting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 79
eISSN - 1365-2478
pISSN - 0016-8025
DOI - 10.1111/j.1365-2478.2008.00723.x
Subject(s) - wavelet , geology , regional geology , wavelet transform , continuous wavelet transform , frequency band , engineering geology , economic geology , passive seismic , wavelet packet decomposition , channel (broadcasting) , temporal resolution , frequency domain , environmental geology , seismology , discrete wavelet transform , computer science , tectonics , bandwidth (computing) , optics , telmatology , telecommunications , physics , artificial intelligence , volcanism , computer vision
Conventional seismic data are band limited and therefore, provide limited geological information. Every method that can push the limits is desirable for seismic data analysis. Recently, time‐frequency decomposition methods are being used to quickly extract geological information from seismic data and, especially, for revealing frequency‐dependent amplitude anomalies. Higher frequency resolution at lower frequencies and higher temporal resolution at higher frequencies are the objectives for different time‐frequency decomposition methods. Continuous wavelet transform techniques, which are the same as narrow‐band spectral analysis methods, provide frequency spectra with high temporal resolution without the windowing process associated with other techniques. Therefore, this technique can be used for analysing geological information associated with low and high frequencies that normally cannot be observed in conventional seismic data. In particular, the continuous wavelet transform is being used to detect thin sand bodies and also as a direct hydrocarbon indicator. This paper presents an application of the continuous wavelet transform method for the mapping of potential channel deposits, as well as remnant natural gas detection by mapping low‐frequency anomalies associated with the gas. The study was carried out at the experimental CO 2 storage site at Ketzin, Germany (CO 2 SINK). Given that reservoir heterogeneity and faulting will have significant impact on the movement and storage of the injected CO 2 , our results are encouraging for monitoring the migration of CO 2 at the site. Our study confirms the efficiency of the continuous wavelet transform decomposition method for the detection of frequency‐dependent anomalies that may be due to gas migration during and after the injection phase and in this way, it can be used for real‐time monitoring of the injected CO 2 from both surface and borehole seismics.