 |
| Titel |
Efficient selective filtering of seismic data using multiscale decomposition |
| VerfasserIn |
F. E. A. Leite, M. V. C. Henriques, V. C. Gurgel, J. M. S. Filho |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1023-5809
|
| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 20, no. 2 ; Nr. 20, no. 2 (2013-03-13), S.207-211 |
| Datensatznummer |
250018959
|
| Publikation (Nr.) |
 copernicus.org/npg-20-207-2013.pdf |
|
|
|
|
|
| Zusammenfassung |
| Seismic signal processing is an important task in geophysics sounding and
represents a permanent challenge in petroleum exploration. Although seismograms could
in principle give us a picture of a geological structure, they are very contaminated
by spurious signals and the ground roll noise is a strongly undesired signal present
in the seismograms – it does not carry physical information about the deep geological
structures. This fact demands a big effort in developing new filtering methodologies.
Using discrete wavelet transform, an efficient filtering for suppression of the ground roll
is presented. In this method, seismic data is decomposed in multiple
scales. We can remove the noise as a surgical operation in each
scale, just from the regions where they are present or strong,
allowing us to preserve the maximum of relevant information. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|