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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| Veröffentlicht in: | Journal of geophysics and engineering Jg. 22; H. 6; S. 1710 - 1730 |
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01.12.2025
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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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| Cites_doi | 10.1190/segam2016-13943010.1 10.1016/j.advengsoft.2017.07.002 10.1029/2019JB018349 10.1109/TIT.1982.1056489 10.1016/j.cie.2020.106559 10.1121/1.1908941 10.1093/jge/gxab007 10.1007/s00521-023-09018-6 10.35248/2381-8719.24.13.1146 10.1016/j.knosys.2015.07.006 10.1109/TEVC.2004.826067 10.1016/j.cma.2020.113609 10.1190/1.1620632 10.1190/1.2192912 10.1016/j.geoen.2023.211635 10.1109/TEVC.2013.2281535 10.48550/arXiv.1711.10214 10.1109/ICNN.1995.488968 10.1016/j.knosys.2015.12.022 10.1016/j.engappai.2019.103306 10.1190/1.2401343 10.1088/568-575/bbb152 10.1093/gji/ggu125 10.1088/1742-2140/aaa149 |
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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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