Imaging the sea surface using a dual‐sensor towed streamer

Orji, Okwudili C.; Söllner, Walter; Gelius, Leiv‐J.

doi:10.1190/1.3255449

Cited by 6 publications

(13 citation statements)

References 11 publications

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“…In order to recover the sea surface information from the recorded scattered data, the backward approach could be used. However, our interest is to further validate the sea surface imaging technology proposed by [3][4][5] which is applicable to field data. It is reintroduced here in 3D in order to bring the present work into context.…”

Section: Time-varying Sea Surface Imagingmentioning

confidence: 99%

“…Exploiting now the relationship between vertical particle velocity and pressure gradient, the velocity wavefield recorded by motion sensors is then in frequency-wavenumber domain [4,16,17]:…”

Section: Wavefield Separation and Extrapolationmentioning

confidence: 99%

“…This measurement can be separated into the component up-going and down-going pressure or particle velocity wavefields if properly combined in data processing [4][5][6][15][16][17]. In a homogenous medium, assuming plane wave representation, the total pressure wavefield̃is recorded by hydrophones:̃=̃( , , ) +̃( , , ) ,…”

Section: Wavefield Separation and Extrapolationmentioning

confidence: 99%

“…However, this method is dependent on the precision of the pressure sensors at very low frequencies (between 0.05 Hz and 0.3 Hz), which is well below normal seismic bandwidth. A method of imaging 2D sea surfaces from 2D seismic data acquired by collocated dual-sensor systems (comprising pressure and particle velocity sensors) has been described by Orji et al [4][5][6]. This paper investigates the robustness of the proposed imaging 2 International Journal of Geophysics technique to reconstruct 3D time-varying sea surfaces from 3D towed dual-sensor streamer data.…”

Section: Introductionmentioning

confidence: 99%

“…The depth positions of the maximum image values define the sea surface. Finally, by using a sliding window through the data and repeating the imaging technique for each window, time variable changes of the sea surface can be accounted for [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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Imaging 3D Sea Surfaces from 3D Dual-Sensor Towed Streamer Data

Orji

Söllner

Gelius

2013

International Journal of Geophysics

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3D realistic sea surface imaging from 3D dual-sensor towed streamer data is presented. The technique is based on separating data acquired by collocated dual-sensors into up-going and down-going wavefields. Subsequently, these wavefields are extrapolated upwards in order to image the sea surface. This approach has previously been demonstrated using 2D data examples. Here, the focus is on 3D data. Controlled 3D data based on the Kirchhoff-Helmholtz algorithm is generated, and the 3D sea surface imaging technique is applied. For coarsely spaced streamers from 3D field data, the technique is applied streamerwise (i.e., 2D wavefield separation, extrapolation, and imaging). In the latter case, the resulting sea surface profiles corresponding to each time frame are interpolated to demonstrate that the main sea surface characteristics are preserved, and artefacts due to 2D processing of 3D data are mainly limited to areas corresponding to large angles of incidence. Time-varying sea surfaces from two different 3D field data are imaged. The data examples were acquired under different weather conditions. The imaged sea surfaces show realistic wave heights, and their spectra suggest plausible speeds and directions.

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Section: Time-varying Sea Surface Imagingmentioning

confidence: 99%

Section: Wavefield Separation and Extrapolationmentioning

confidence: 99%

Section: Wavefield Separation and Extrapolationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Imaging 3D Sea Surfaces from 3D Dual-Sensor Towed Streamer Data

Orji

Söllner

Gelius

2013

International Journal of Geophysics

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Imaging of primaries and multiples using a dual-sensor towed streamer

Whitmore¹,

Valenciano²,

Söllner

et al. 2010

ASEG Extended Abstracts

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How rough sea affects marine seismic data and deghosting procedures

Egorov

Glubokovskikh

Bóna

et al. 2017

Geophysical Prospecting

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A B S T R A C TMost seismic processing algorithms generally consider the sea surface as a flat reflector. However, acquisition of marine seismic data often takes place in weather conditions where this approximation is inaccurate. The distortion in the seismic wavelet introduced by the rough sea may influence (for example) deghosting results, as deghosting operators are typically recursive and sensitive to the changes in the seismic signal. In this paper, we study the effect of sea surface roughness on conventional (5-160 Hz) and ultra-high-resolution (200-3500 Hz) single-component towed-streamer data. To this end, we numerically simulate reflections from a rough sea surface using the Kirchhoff approximation. Our modelling demonstrates that for conventional seismic frequency band sea roughness can distort results of standard one-dimensional and two-dimensional deterministic deghosting. To mitigate this effect, we introduce regularisation and optimisation based on the minimum-energy criterion and show that this improves the processing output significantly. Analysis of ultra-high-resolution field data in conjunction with modelling shows that even relatively calm sea state (i.e., 15 cm wave height) introduces significant changes in the seismic signal for ultra-high-frequency band. These changes in amplitude and arrival time may degrade the results of deghosting. Using the field dataset, we show how the minimum-energy optimisation of deghosting parameters improves the processing result.

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Imaging the sea surface using a dual‐sensor towed streamer

Cited by 6 publications

References 11 publications

Imaging 3D Sea Surfaces from 3D Dual-Sensor Towed Streamer Data

Imaging 3D Sea Surfaces from 3D Dual-Sensor Towed Streamer Data

Imaging of primaries and multiples using a dual-sensor towed streamer

How rough sea affects marine seismic data and deghosting procedures

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