DocumentCode
1850788
Title
Computation of coherence cube with variable time window length
Author
Wang Jun ; Wang Lijun ; Wang Yanjiang
Author_Institution
Coll. of Inf. & Control Eng., China Univ. of Pet., Qingdao, China
Volume
2
fYear
2012
fDate
21-25 Oct. 2012
Firstpage
1397
Lastpage
1400
Abstract
The coherence cube technology extracts the discontinuity attribute of the seismic events by analyzing the similarities of adjacent seismic channels. It has become an important technology for seismic interpretation. The conventional coherence cube technologies use constant time window lengths. But the frequency band of the seismic signal usually varies with depth, so such constant time window lengths can not balance the shallow layers and deep layers. When analyzing the shallow layers (having wide frequency band), the time window will crossover quite a few events, which will lead to weak focusing ability and failure to delineate the details. While the time window will not be long enough for analyzing deep layers (having low frequency band), which will lead to quite low accuracy because the coherences near the zero points of the events are heavily influenced by noise, and it is harmful for fault detection. This paper gives a coherence cube computing method with self-adaptively varying window lengths, which determines the sample points´ time window lengths in real time by computing the instantaneous frequency bands with Gabor Transformation. The experiments for actual seismic data show that it can give accurate coherence in both deep and shallow layers.
Keywords
fault diagnosis; geophysical image processing; seismic waves; wavelet transforms; Gabor transform; adjacent seismic channel; coherence cube computing method; discontinuity attribute; fault detection; instantaneous frequency band; sample point time window length; seismic event; seismic interpretation; seismic signal; shallow layers; variable time window length; Gabor transform; coherence cube; seismic attribute; time window length;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location
Beijing
ISSN
2164-5221
Print_ISBN
978-1-4673-2196-9
Type
conf
DOI
10.1109/ICoSP.2012.6491837
Filename
6491837
Link To Document