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| Titel |
Complex noise suppression and reconstruction of seismic reflection data from fault structures using Space Lagged Singular Spectral Analysis |
| VerfasserIn |
R. K. Tiwari, R. Rajesh, T. Seshunarayana, K. Dhanam |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
2198-5634
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics Discussions ; 1, no. 1 ; Nr. 1, no. 1 (2014-04-11), S.649-663 |
| Datensatznummer |
250115088
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| Publikation (Nr.) |
 copernicus.org/npgd-1-649-2014.pdf |
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| Zusammenfassung |
| The seismic reflection data processing to identify thin coal beds and
intrinsic fault structure associated with coalmines suffers from the coherent
noise that arises due to interference and diffraction of seismic signals from
adjacent horizontal boundaries on either sides of the fault structure. The
amplitudes of the interfering reflections mislead the interpretation of
geological features like faults, curved reflectors, etc. In particular,
correlated and erratic noise create more severe problem than the random noise
in the interpretation of such complex geological structures. Here, we
employed Space Lagged Singular Spectral Analysis (SLSSA) algorithm, which
decomposes the amplitudes from a constant time/depth to determine the
original signal amplitude based on eigen properties of the signal. Thus, we
can de-noise seismic signal to delineate the concealed discontinuities and to
map the fault structures. Initially, we tested the algorithm on the synthetic
data of fault structure embedded with complex mixed noise (random and
colored) of known percentage. Finally, the method was employed on
high-resolution seismic reflection observations recorded from Singareni
coalfield, India. The SLSSA method reveals some significant kinematic fault
structures in the coal-bearing zone, which agreed with regional fault
structures in the PG basin and correlates well with available geological
information in the area. |
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