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Imaging Ocean-Bottom Seismic Data with Acoustic Kirchhoff Pre-Stack Depth Migration: A Numerical Investigation of Migration Responses and Crosstalk Artifacts

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Vydáno v:Journal of Marine Science and Engineering vol. 13, no. 11 (2025), p. 2109-2133
Hlavní autor: Han Bingkai
Další autoři: Liang, Quan, Mao Weijian, Chen, Guoxin
Vydáno:
MDPI AG
Témata:
Ocean bottom
Artifacts
Datasets
Investigations
Natural gas exploration
Oil and gas exploration
Data processing
Sea surface
Numerical analysis
Ocean floor
Seismic analysis
Depth
Engines
Seismic surveys
Oil exploration
Propagation
Ocean bottom seismometers
Acoustics
Geometry
Seismic data
Ordinary differential equations
Simulators
Environmental
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Abstrakt:Ocean-bottom seismic (OBS) surveys have been applied in marine oil and gas exploration. In the typical OBS observation geometry, the source and receiver are located on/near different datums, i.e., the sea surface and the seafloor. Besides the desired primary reflections, abundant water-layer-related multiples (WLRMs) are the dominant noises. The demultiple processing for OBS data is a long-standing challenging task. If these WLRMs are not properly suppressed, they will be projected into the subsurface domain by the pre-stack depth migration (PSDM) engine, forming crosstalk imaging artifacts. By combining a finite-difference-based wave simulator and an acoustic Kirchhoff PSDM engine, we propose to build up a numerical analysis workflow to address the influence of WLRMs on depth images. We make a classification of typical WLRMs. Through an integrated numerical investigation, we conduct a detailed analysis of basic migration responses, wave-mode crosstalk, and effective artifact suppression solutions. With a generalized mirror migration approach, we emphasize the potential application of turning WLRMs into effective signals. The built-up investigation method and the obtained understanding of multiples can further benefit in suppressing and utilizing multiples in OBS datasets.
ISSN:2077-1312
DOI:10.3390/jmse13112109
Zdroj:Engineering Database