Deep resolution: will ocean bottom node be the answer?

Глубокое разрешение: станет ли ответом узел на дне океана?
Xukai Shen
2026-02-10

Full Waveform InversionOcean Bottom NodeWide-azimuth Towed streamerdeep target high-resolution imaginglow-frequency long-offset data
In recent years, Full Waveform Inversion combined with low-frequency, long-offset data have dramatically improved the quality of the seismic velocity models in challenging areas – the biggest impediment to high-resolution imaging at reservoir depth as people thought. However, we have yet to see high-resolution images of deep targets. This begs the question whether the same low-frequency long-offset data are adequate for high-resolution imaging at depth. In the abstract, I use Full Waveform Inversion models with both Ocean Bottom Node and Wide-azimuth Towed streamer field data from the Gulf of America to investigate this open-ended question and speculate potential solutions.
1
Despite improved velocity models, high-resolution images of deep reservoir targets have not yet been achieved.
2
Full Waveform Inversion (FWI) with low-frequency, long-offset data has greatly improved seismic velocity models in challenging areas.
3
It is unclear whether low-frequency, long-offset data alone are sufficient for high-resolution deep imaging.
4
The study compares FWI results from Ocean Bottom Node (OBN) and wide-azimuth towed streamer field data in the Gulf of America to investigate this question and explore potential solutions.

Deep seismic targets (reservoir-depth geological structures) imaged using Full Waveform Inversion models derived from Ocean Bottom Node and Wide-azimuth Towed streamer field data

Adequacy of low-frequency, long-offset data and Ocean Bottom Node versus wide-azimuth towed streamer acquisition for achieving high-resolution seismic imaging at depth (including potential solutions)

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2026-02-10
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Xukai Shen
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