Representations for multidimensional down-down deconvolution of ocean-bottom seismic data: theory and practical implications
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| Format: | Preprint |
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2025
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| _version_ | 1866911730159845376 |
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| author | Wapenaar, Kees Ravasi, Matteo Bagaini, Claudio |
| author_facet | Wapenaar, Kees Ravasi, Matteo Bagaini, Claudio |
| contents | Multidimensional up-down deconvolution effectively eliminates surface-related multiples from ocean-bottom seismic data. Recently, several down-down deconvolution methods have been introduced as attractive alternatives. Whereas multidimensional up-down deconvolution fully accounts for lateral variations of the medium parameters, the underlying theory of some of the down-down deconvolution methods is essentially based on the assumption that the medium is horizontally layered. Using reciprocity theory, this assumption is circumvented. This leads to representations for either receiver-side or source-side multidimensional down-down deconvolution. Compared with multidimensional up-down deconvolution, receiver-side down-down deconvolution only utilizes the downgoing part of the wavefield that better samples the shallow subsurface, but it is not entirely data-driven. Source-side down-down deconvolution benefits from the better sampled source array, but in the presence of sparsely sampled receivers it requires solving an underdetermined system of linear equations. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2509_13123 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Representations for multidimensional down-down deconvolution of ocean-bottom seismic data: theory and practical implications Wapenaar, Kees Ravasi, Matteo Bagaini, Claudio Geophysics Multidimensional up-down deconvolution effectively eliminates surface-related multiples from ocean-bottom seismic data. Recently, several down-down deconvolution methods have been introduced as attractive alternatives. Whereas multidimensional up-down deconvolution fully accounts for lateral variations of the medium parameters, the underlying theory of some of the down-down deconvolution methods is essentially based on the assumption that the medium is horizontally layered. Using reciprocity theory, this assumption is circumvented. This leads to representations for either receiver-side or source-side multidimensional down-down deconvolution. Compared with multidimensional up-down deconvolution, receiver-side down-down deconvolution only utilizes the downgoing part of the wavefield that better samples the shallow subsurface, but it is not entirely data-driven. Source-side down-down deconvolution benefits from the better sampled source array, but in the presence of sparsely sampled receivers it requires solving an underdetermined system of linear equations. |
| title | Representations for multidimensional down-down deconvolution of ocean-bottom seismic data: theory and practical implications |
| topic | Geophysics |
| url | https://arxiv.org/abs/2509.13123 |