Intelligent gather optimization for radial interpolation seismic gathers using the multi-objective mayfly algorithm
Abstract As a special type of azimuth-based pre-stack seismic gather, the optimization of radial interpolation offset gathers differs from conventional pre-stack offset gather process, with the key focus being the determination of stack coefficients across multiple azimuths. Based on this, this stud...
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| Vydáno v: | Journal of geophysics and engineering Ročník 22; číslo 6; s. 1710 - 1730 |
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| Jazyk: | angličtina |
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Oxford University Press
01.12.2025
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| ISSN: | 1742-2132, 1742-2140 |
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| Abstract | Abstract
As a special type of azimuth-based pre-stack seismic gather, the optimization of radial interpolation offset gathers differs from conventional pre-stack offset gather process, with the key focus being the determination of stack coefficients across multiple azimuths. Based on this, this study systematically integrates conventional gather optimization techniques such as filtering, inverse Q filtering, generalized Wiener–Levinson deconvolution, and gather flattening. Multiple sub-objective functions were established for gathers at different azimuths and angles, and both single-objective and multi-objective mayfly algorithm were applied for optimization, introducing the concept of the “optimal stack coefficient.” The results demonstrate that the proposed method significantly improves seismic data resolution and enhances the correlation between well-side seismic gathers and synthetic records, while maintaining consistent amplitude versus offset characteristics before and after optimization. Ultimately, this research provides a theoretical foundation and technical support for the processing of radial-interpolated pre-stack offset gathers. |
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| AbstractList | As a special type of azimuth-based pre-stack seismic gather, the optimization of radial interpolation offset gathers differs from conventional pre-stack offset gather process, with the key focus being the determination of stack coefficients across multiple azimuths. Based on this, this study systematically integrates conventional gather optimization techniques such as filtering, inverse Q filtering, generalized Wiener–Levinson deconvolution, and gather flattening. Multiple sub-objective functions were established for gathers at different azimuths and angles, and both single-objective and multi-objective mayfly algorithm were applied for optimization, introducing the concept of the “optimal stack coefficient.” The results demonstrate that the proposed method significantly improves seismic data resolution and enhances the correlation between well-side seismic gathers and synthetic records, while maintaining consistent amplitude versus offset characteristics before and after optimization. Ultimately, this research provides a theoretical foundation and technical support for the processing of radial-interpolated pre-stack offset gathers. Abstract As a special type of azimuth-based pre-stack seismic gather, the optimization of radial interpolation offset gathers differs from conventional pre-stack offset gather process, with the key focus being the determination of stack coefficients across multiple azimuths. Based on this, this study systematically integrates conventional gather optimization techniques such as filtering, inverse Q filtering, generalized Wiener–Levinson deconvolution, and gather flattening. Multiple sub-objective functions were established for gathers at different azimuths and angles, and both single-objective and multi-objective mayfly algorithm were applied for optimization, introducing the concept of the “optimal stack coefficient.” The results demonstrate that the proposed method significantly improves seismic data resolution and enhances the correlation between well-side seismic gathers and synthetic records, while maintaining consistent amplitude versus offset characteristics before and after optimization. Ultimately, this research provides a theoretical foundation and technical support for the processing of radial-interpolated pre-stack offset gathers. |
| Author | Sun, Weiyu Yan, Songhong Sun, Shoubang Xu, Pengyu Liao, Zheyuan Zhang, Wei |
| Author_xml | – sequence: 1 givenname: Wei surname: Zhang fullname: Zhang, Wei – sequence: 2 givenname: Songhong surname: Yan fullname: Yan, Songhong email: yansonghong06@163.com – sequence: 3 givenname: Zheyuan surname: Liao fullname: Liao, Zheyuan – sequence: 4 givenname: Weiyu surname: Sun fullname: Sun, Weiyu – sequence: 5 givenname: Pengyu surname: Xu fullname: Xu, Pengyu – sequence: 6 givenname: Shoubang surname: Sun fullname: Sun, Shoubang |
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| Keywords | MMA seismic gather optimization radial interpolation seismic optimal stack coefficient |
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As a special type of azimuth-based pre-stack seismic gather, the optimization of radial interpolation offset gathers differs from conventional... As a special type of azimuth-based pre-stack seismic gather, the optimization of radial interpolation offset gathers differs from conventional pre-stack offset... |
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