Seismic Linear Noise Attenuation with Use of Radial Transform

One of the goals of seismic data processing is to attenuate the recorded noise in order to enable correct interpretation of the image. Radial transform has been used as a very effective tool in the attenuation of various types of linear noise, both numerical and real (such as ground roll, direct wav...

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Main Author: Szymańska-Małysa Żaneta
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:E3S Web of Conferences
Subjects:
Online Access:https://doi.org/10.1051/e3sconf/20183503003
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spelling doaj-59303881dbea40778c5b4d289406385a2021-03-02T10:06:03ZengEDP SciencesE3S Web of Conferences2267-12422018-01-01350300310.1051/e3sconf/20183503003e3sconf_polviet2018_03003Seismic Linear Noise Attenuation with Use of Radial TransformSzymańska-Małysa ŻanetaOne of the goals of seismic data processing is to attenuate the recorded noise in order to enable correct interpretation of the image. Radial transform has been used as a very effective tool in the attenuation of various types of linear noise, both numerical and real (such as ground roll, direct waves, head waves, guided waves etc). The result of transformation from offset – time (X – T) domain into apparent velocity – time (R – T) domain is frequency separation between reflections and linear events. In this article synthetic and real seismic shot gathers were examined. One example was targeted at far offset area of dataset where reflections and noise had similar apparent velocities and frequency bands. Another example was a result of elastic modelling where linear artefacts were produced. Bandpass filtering and scaling operation executed in radial domain attenuated all discussed types of linear noise very effectively. After noise reduction all further processing steps reveal better results, especially velocity analysis, migration and stacking. In all presented cases signal-to-noise ratio was significantly increased and reflections covered previously by noise were revealed. Power spectra of filtered seismic records preserved real dynamics of reflections.https://doi.org/10.1051/e3sconf/20183503003seismicnoise attenuationradial transform
collection DOAJ
language English
format Article
sources DOAJ
author Szymańska-Małysa Żaneta
spellingShingle Szymańska-Małysa Żaneta
Seismic Linear Noise Attenuation with Use of Radial Transform
E3S Web of Conferences
seismic
noise attenuation
radial transform
author_facet Szymańska-Małysa Żaneta
author_sort Szymańska-Małysa Żaneta
title Seismic Linear Noise Attenuation with Use of Radial Transform
title_short Seismic Linear Noise Attenuation with Use of Radial Transform
title_full Seismic Linear Noise Attenuation with Use of Radial Transform
title_fullStr Seismic Linear Noise Attenuation with Use of Radial Transform
title_full_unstemmed Seismic Linear Noise Attenuation with Use of Radial Transform
title_sort seismic linear noise attenuation with use of radial transform
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2018-01-01
description One of the goals of seismic data processing is to attenuate the recorded noise in order to enable correct interpretation of the image. Radial transform has been used as a very effective tool in the attenuation of various types of linear noise, both numerical and real (such as ground roll, direct waves, head waves, guided waves etc). The result of transformation from offset – time (X – T) domain into apparent velocity – time (R – T) domain is frequency separation between reflections and linear events. In this article synthetic and real seismic shot gathers were examined. One example was targeted at far offset area of dataset where reflections and noise had similar apparent velocities and frequency bands. Another example was a result of elastic modelling where linear artefacts were produced. Bandpass filtering and scaling operation executed in radial domain attenuated all discussed types of linear noise very effectively. After noise reduction all further processing steps reveal better results, especially velocity analysis, migration and stacking. In all presented cases signal-to-noise ratio was significantly increased and reflections covered previously by noise were revealed. Power spectra of filtered seismic records preserved real dynamics of reflections.
topic seismic
noise attenuation
radial transform
url https://doi.org/10.1051/e3sconf/20183503003
work_keys_str_mv AT szymanskamałysazaneta seismiclinearnoiseattenuationwithuseofradialtransform
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