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Reprocessing of deep seismic reflection data from the North German Basin with the Common Reflection Surface stack

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Title: Reprocessing of deep seismic reflection data from the North German Basin with the Common Reflection Surface stack
Authors: Yoon, Mi-Kyung mi-kyung.yoon@zmaw.de, Baykulov, Mikhail, Dümmong, Stefan, Brink, Heinz-Jürgen, Gajewski, Dirk
Source: Tectonophysics. Jul2009, Vol. 472 Issue 1-4, p273-283. 11p.
Subjects: Seismic reflection method data processing, Geological basins, Surfaces (Technology), Seismic wave velocity, Signal-to-noise ratio, Sedimentary basins, Image processing
Abstract: Abstract: The Common Reflection Surface (CRS) stack is a promising alternative stacking technique for reflection data. This technique is an automatic multi-parameter stack that does not require the explicit knowledge of a stacking velocity model. Furthermore, it significantly improves the signal-to-noise ratio as it considers more traces during the zero-offset stacking than the conventional CMP stack. Especially, for low-fold data in heterogeneous settings, the CRS stack is able to further enhance reflections. Recently, the CRS stack was applied to reflection data from sedimentary basins for oil and gas exploration purposes. It was not yet applied to crustal and deeper reflection data. We used the CRS stack for deep reflection data from the North German Basin. The data were acquired in the late 1970''s and early 1980''s with recording times down to 15 s TWT and mean CMP-folds of about 20. We reprocessed the data focusing on lower crustal and deeper structures. Compared to the conventional CMP processing of the 1980''s, the reprocessed sections show an improved image quality at all time levels, i.e. from the sedimentary cover down to the crust and upper mantle. Especially, the reflections from the salt structures and Moho events are enhanced. Further, a constrained CRS stack was applied to the data using a stacking velocity model from conventional velocity analysis. The latter further improved the coherency and visibility of the reflections, especially in the area of the salt plugs and in the upper crust where multiples were suppressed. The data examples demonstrate that the CRS stack is a suitable tool for improving the quality of seismic images, especially for deep reflection data from low low-fold data acquisitions. [Copyright &y& Elsevier]
Copyright of Tectonophysics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 41582745
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  Data: Reprocessing of deep seismic reflection data from the North German Basin with the Common Reflection Surface stack
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  Data: <searchLink fieldCode="AR" term="%22Yoon%2C+Mi-Kyung%22">Yoon, Mi-Kyung</searchLink><i> mi-kyung.yoon@zmaw.de</i><br /><searchLink fieldCode="AR" term="%22Baykulov%2C+Mikhail%22">Baykulov, Mikhail</searchLink><br /><searchLink fieldCode="AR" term="%22Dümmong%2C+Stefan%22">Dümmong, Stefan</searchLink><br /><searchLink fieldCode="AR" term="%22Brink%2C+Heinz-Jürgen%22">Brink, Heinz-Jürgen</searchLink><br /><searchLink fieldCode="AR" term="%22Gajewski%2C+Dirk%22">Gajewski, Dirk</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Tectonophysics%22">Tectonophysics</searchLink>. Jul2009, Vol. 472 Issue 1-4, p273-283. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Seismic+reflection+method+data+processing%22">Seismic reflection method data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Geological+basins%22">Geological basins</searchLink><br /><searchLink fieldCode="DE" term="%22Surfaces+%28Technology%29%22">Surfaces (Technology)</searchLink><br /><searchLink fieldCode="DE" term="%22Seismic+wave+velocity%22">Seismic wave velocity</searchLink><br /><searchLink fieldCode="DE" term="%22Signal-to-noise+ratio%22">Signal-to-noise ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Sedimentary+basins%22">Sedimentary basins</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink>
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  Label: Abstract
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  Data: Abstract: The Common Reflection Surface (CRS) stack is a promising alternative stacking technique for reflection data. This technique is an automatic multi-parameter stack that does not require the explicit knowledge of a stacking velocity model. Furthermore, it significantly improves the signal-to-noise ratio as it considers more traces during the zero-offset stacking than the conventional CMP stack. Especially, for low-fold data in heterogeneous settings, the CRS stack is able to further enhance reflections. Recently, the CRS stack was applied to reflection data from sedimentary basins for oil and gas exploration purposes. It was not yet applied to crustal and deeper reflection data. We used the CRS stack for deep reflection data from the North German Basin. The data were acquired in the late 1970''s and early 1980''s with recording times down to 15 s TWT and mean CMP-folds of about 20. We reprocessed the data focusing on lower crustal and deeper structures. Compared to the conventional CMP processing of the 1980''s, the reprocessed sections show an improved image quality at all time levels, i.e. from the sedimentary cover down to the crust and upper mantle. Especially, the reflections from the salt structures and Moho events are enhanced. Further, a constrained CRS stack was applied to the data using a stacking velocity model from conventional velocity analysis. The latter further improved the coherency and visibility of the reflections, especially in the area of the salt plugs and in the upper crust where multiples were suppressed. The data examples demonstrate that the CRS stack is a suitable tool for improving the quality of seismic images, especially for deep reflection data from low low-fold data acquisitions. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Tectonophysics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.tecto.2008.05.010
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        Text: English
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        PageCount: 11
        StartPage: 273
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      – SubjectFull: Seismic reflection method data processing
        Type: general
      – SubjectFull: Geological basins
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      – SubjectFull: Surfaces (Technology)
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      – SubjectFull: Seismic wave velocity
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      – SubjectFull: Signal-to-noise ratio
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      – SubjectFull: Sedimentary basins
        Type: general
      – SubjectFull: Image processing
        Type: general
    Titles:
      – TitleFull: Reprocessing of deep seismic reflection data from the North German Basin with the Common Reflection Surface stack
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            NameFull: Yoon, Mi-Kyung
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            NameFull: Dümmong, Stefan
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              Text: Jul2009
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              Y: 2009
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