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Article

Full-Wavefield Migration Using an Imaging Condition of Global Normalization Multi-Order Wavefields: Application to a Synthetic Dataset

1
College of Geo-Exploration Science and Technology, Jilin University, Changchun 130012, China
2
Jilin High-Grade Highway Engineering Co., Ltd., Changchun 130015, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2024, 14(4), 1389; https://doi.org/10.3390/app14041389
Submission received: 21 December 2023 / Revised: 5 February 2024 / Accepted: 6 February 2024 / Published: 8 February 2024
(This article belongs to the Special Issue Seismic Data Processing and Imaging)

Abstract

In marine seismic exploration, seismic signals comprise primaries that undergo first-order scattering, as well as multiples resulting from multi-order scattering events. Surface-related multiples involve multi-order scattering at the free surface interface between seawater and air and exhibit a smaller reflection angle and broader illumination compared to primaries. Internal multiples, originating from multi-order scattering among stratified layers, provide additional illumination compensation beneath the reflecting interface. However, in conventional primary migration, different-order wavefields may result in crosstalk artifacts. To address this issue, we developed a least-squares migration (LSM) method based on the multi-order wavefield global normalization condition. This methodology investigates the illumination effects and crosstalk artifacts associated with different-order surface-related and internal multiples, and then modifies the global normalization condition by incorporating an illumination compensation perspective. Virtual sources, represented by surface-related multiples and internal multiples, are integrated into the source compensation term, ultimately yielding a multi-order wavefield normalization condition. This normalization condition is subsequently combined with least-squares full-wavefield migration (LSFWM). Numerical experiments demonstrate that the normalization condition of multi-order wavefields can resolve the problem of weak deep imaging energy and promote the suppression of multiple crosstalk artifacts in the least-squares algorithm.
Keywords: full wavefield; least-squares migration; image condition; global normalization full wavefield; least-squares migration; image condition; global normalization

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MDPI and ACS Style

Zhu, H.; Wang, D.; Li, L. Full-Wavefield Migration Using an Imaging Condition of Global Normalization Multi-Order Wavefields: Application to a Synthetic Dataset. Appl. Sci. 2024, 14, 1389. https://doi.org/10.3390/app14041389

AMA Style

Zhu H, Wang D, Li L. Full-Wavefield Migration Using an Imaging Condition of Global Normalization Multi-Order Wavefields: Application to a Synthetic Dataset. Applied Sciences. 2024; 14(4):1389. https://doi.org/10.3390/app14041389

Chicago/Turabian Style

Zhu, Hongyu, Deli Wang, and Lingxiang Li. 2024. "Full-Wavefield Migration Using an Imaging Condition of Global Normalization Multi-Order Wavefields: Application to a Synthetic Dataset" Applied Sciences 14, no. 4: 1389. https://doi.org/10.3390/app14041389

APA Style

Zhu, H., Wang, D., & Li, L. (2024). Full-Wavefield Migration Using an Imaging Condition of Global Normalization Multi-Order Wavefields: Application to a Synthetic Dataset. Applied Sciences, 14(4), 1389. https://doi.org/10.3390/app14041389

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