Glossary entry (derived from question below)
English term or phrase:
whitening
Romanian translation:
decorelarea/largirea benzii spectrale
Added to glossary by
danieline
May 25, 2022 18:07
1 yr ago
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English term
whitening
English to Romanian
Other
Engineering (general)
Improve seismic bandwidth through de-ghosting technology and new spectral *whitening combined with residual zero phasing after migration. De-ghosting improves fault/steep dips imaging.
Improved bandwidth (via deghosting and using new spectral *whitening and residual zero-phasing after migration)
as traduce: decolorare
Improved bandwidth (via deghosting and using new spectral *whitening and residual zero-phasing after migration)
as traduce: decolorare
Proposed translations
(Romanian)
| 4 | decorelarea/largirea benzii spectrale |
Cristina Ciublan
|
Proposed translations
59 mins
Cristina Ciublan
Native in Romanian
Works in field
Proper meaning and proper service
Native in: Romanian 
Works in: English to Romanian, French to Romanian
Related KudoZ points
:
276
Selected
decorelarea/largirea benzii spectrale
Spectral Whitening (sometimes called balencing or broadening) is a process usually applied post-migration to improve the resolution and appearance of seismic data and is a crude attempt to correct for frequency attenuation. A variety of methods may be used to attempt to equalise the spectrum without overly boosting noise.
http://www.xsgeo.com/course/spec.htm
https://fdocumente.com/document/bazele-spectroscopiei-si-las...
https://books.google.ro/books?id=qXdfEAAAQBAJ&pg=PA63&dq=dec...
http://www.xsgeo.com/course/spec.htm
https://fdocumente.com/document/bazele-spectroscopiei-si-las...
https://books.google.ro/books?id=qXdfEAAAQBAJ&pg=PA63&dq=dec...
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Comment: "MULTUMESC!"
Reference comments
50 mins
Reference:
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spectrum_whiting////Deconvolution is widely used to increase the resolution of seismic data. To compare the resolution ability of conventional** spectrum whitening** deconvolution to thin layers with that of well-driven deconvolution, a complex sedimentary geological model was designed, and then the simulated seismic data were processed respectively by each of the two methods. The amplitude spectrum of seismic data was*** almost white after spectrum whitening,*** but the wavelet resolution was low. The amplitude spectrum after well-driven deconvolution deviated from white spectrum, but the wavelet resolution was high. Further analysis showed that if an actual reflectivity series could not well satisfy the hypothesis of white spectrum,
spectrum whitening deconvolution had a potential risk of wavelet distortion, which might lead to a pitfall in high resolution seismic data interpretation. On the other hand, the wavelet after well-driven deconvolution had higher resolution both in the time and frequency domains. It is favorable for high resolution seismic interpretation and reservoir prediction
Spectrum whitening deconvolution and its problemsThe basic idea of spectrum whitening deconvolution is to whiten the amplitude spectrum of seismic data in a specifi c frequency band. Assuming that the spectrum of a refl ectivity series is approximately white, adjusting the amplitude spectrum of seismic record is equivalent to adjusting that of the wavelet (Li et al, 2008).Spectrum modeling and spectrum modulation techniques are often used to improve the resolution of seismic records in order to control the amplifi cation of noise after spectrum whitening (Rosa and Ulrych, 1991; Zhao et al, 1996). The amplitude spectrum of the wavelet is simulated by smoothing that of the seismic record, and then a spectrum whitening operator is estimated in the frequency domain. In fact, these methods can be treated as spectrum whitening deconvolution in the frequency domain, and they also need the same basic hypotheses as the time domain methods (Baan and Pham, 2008; Velis, 2008).
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Note added at 1 hr (2022-05-25 19:16:04 GMT)
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https://www.researchgate.net/publication/225671979_Potential...
spectrum whitening deconvolution had a potential risk of wavelet distortion, which might lead to a pitfall in high resolution seismic data interpretation. On the other hand, the wavelet after well-driven deconvolution had higher resolution both in the time and frequency domains. It is favorable for high resolution seismic interpretation and reservoir prediction
Spectrum whitening deconvolution and its problemsThe basic idea of spectrum whitening deconvolution is to whiten the amplitude spectrum of seismic data in a specifi c frequency band. Assuming that the spectrum of a refl ectivity series is approximately white, adjusting the amplitude spectrum of seismic record is equivalent to adjusting that of the wavelet (Li et al, 2008).Spectrum modeling and spectrum modulation techniques are often used to improve the resolution of seismic records in order to control the amplifi cation of noise after spectrum whitening (Rosa and Ulrych, 1991; Zhao et al, 1996). The amplitude spectrum of the wavelet is simulated by smoothing that of the seismic record, and then a spectrum whitening operator is estimated in the frequency domain. In fact, these methods can be treated as spectrum whitening deconvolution in the frequency domain, and they also need the same basic hypotheses as the time domain methods (Baan and Pham, 2008; Velis, 2008).
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Note added at 1 hr (2022-05-25 19:16:04 GMT)
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https://www.researchgate.net/publication/225671979_Potential...
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