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Enhancing 2D deep seismic reflection imaging using shot domain regularization: a case study from the Jiangnan Orogenic Belt, South China.

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Title: Enhancing 2D deep seismic reflection imaging using shot domain regularization: a case study from the Jiangnan Orogenic Belt, South China.
Authors: Zhang, Hui1,2 (AUTHOR), Yan, Jiayong1,2 (AUTHOR) yanjy@163.com, Liu, Zhendong1,2 (AUTHOR), Han, Jianguang1,2 (AUTHOR), Wang, Hao3 (AUTHOR), Liu, Jiahao2 (AUTHOR)
Source: Solid Earth. 2026, Vol. 17 Issue 4, p689-709. 21p.
Subjects: Seismic reflection method, Mathematical regularization, Seismic surveys, Imaging systems in seismology, Signal processing, Seismic migration, Orogenic belts
Abstract: Deep seismic reflection is a key method for investigating plate tectonics, as it enables detailed imaging of lithospheric structures – particularly within the crust and upper mantle. It plays a crucial role in understanding crustal evolution and identifying mineral enrichment zones. However, during data acquisition, deviations from the planned shot and receiver locations often occur due to surface constraints or other logistical challenges. These deviations result in irregular seismic data that can introduce significant migration artifacts during processing, ultimately reducing data quality and hindering the interpretation of deep geological structures. To address this issue, we evaluated four data regularization strategies based on anti-aliasing Matching Pursuit Fourier Interpolation using a 2D deep seismic reflection dataset from the central Jiangnan Orogenic Belt. Among these, the method that involves regularizing and infilling shot gathers at 100 m intervals produced the most effective results. Compared to legacy contractor-processed data, this method achieved a higher signal-to-noise ratio and improved seismic resolution. The superiority of that method was further confirmed through enhanced imaging in the pre-stack time migration results. These findings highlight the importance of shot domain regularization prior to migration in deep seismic reflection surveys. [ABSTRACT FROM AUTHOR]
Copyright of Solid Earth is the property of Copernicus Gesellschaft mbH 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.)
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  Data: Enhancing 2D deep seismic reflection imaging using shot domain regularization: a case study from the Jiangnan Orogenic Belt, South China.
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  Data: <searchLink fieldCode="JN" term="%22Solid+Earth%22">Solid Earth</searchLink>. 2026, Vol. 17 Issue 4, p689-709. 21p.
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  Data: <searchLink fieldCode="DE" term="%22Seismic+reflection+method%22">Seismic reflection method</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+regularization%22">Mathematical regularization</searchLink><br /><searchLink fieldCode="DE" term="%22Seismic+surveys%22">Seismic surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Imaging+systems+in+seismology%22">Imaging systems in seismology</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Seismic+migration%22">Seismic migration</searchLink><br /><searchLink fieldCode="DE" term="%22Orogenic+belts%22">Orogenic belts</searchLink>
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  Data: Deep seismic reflection is a key method for investigating plate tectonics, as it enables detailed imaging of lithospheric structures – particularly within the crust and upper mantle. It plays a crucial role in understanding crustal evolution and identifying mineral enrichment zones. However, during data acquisition, deviations from the planned shot and receiver locations often occur due to surface constraints or other logistical challenges. These deviations result in irregular seismic data that can introduce significant migration artifacts during processing, ultimately reducing data quality and hindering the interpretation of deep geological structures. To address this issue, we evaluated four data regularization strategies based on anti-aliasing Matching Pursuit Fourier Interpolation using a 2D deep seismic reflection dataset from the central Jiangnan Orogenic Belt. Among these, the method that involves regularizing and infilling shot gathers at 100 m intervals produced the most effective results. Compared to legacy contractor-processed data, this method achieved a higher signal-to-noise ratio and improved seismic resolution. The superiority of that method was further confirmed through enhanced imaging in the pre-stack time migration results. These findings highlight the importance of shot domain regularization prior to migration in deep seismic reflection surveys. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Solid Earth is the property of Copernicus Gesellschaft mbH 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: 10.5194/se-17-689-2026
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        Text: English
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        Type: general
      – SubjectFull: Mathematical regularization
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      – SubjectFull: Seismic surveys
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      – SubjectFull: Signal processing
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      – SubjectFull: Seismic migration
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      – SubjectFull: Orogenic belts
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      – TitleFull: Enhancing 2D deep seismic reflection imaging using shot domain regularization: a case study from the Jiangnan Orogenic Belt, South China.
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              Text: 2026
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