Enhancement of seismic data gathered by floating ice acquisition: Application of local kinematic attributes

Khaidukov, V.; Protasov, M.; Neklyudov, Dmitry; Silvestrov, Ilya; Tcheverda, Vladimir; Landa, Evgeny; Reshetova, Galina

doi:10.1190/segam2016-13809298.1

Cited by 2 publications

(3 citation statements)

References 8 publications

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“…; Khaidukov et al . ) specifically aimed to attenuate the flexural wave. Modelling has been performed to look at the effect of various sources (Rendleman and Levin ) and also to derive (Press and Ewing ) and model the flexural wave itself (Yang and Yates ; Rovetta et al .…”

Section: Introductionmentioning

confidence: 99%

“…For the seismic surveys we have performed on a few months old sea ice less than a meter thick, we find that the flexural waves are mainly confined to a fan constrained by the air wave and zero offset, but in surveys with vibrator as energy source (Lansley et al 1984;Beresford-Smith and Rango 1988) the flexural waves have been observed to travel faster and thus cover a larger part of the shot gathers. Different techniques have been investigated both in acquisition (Proubasta 1985) and processing (Beresford-Smith and Rango 1988; Barr, Nyland and Sitton 1993;Henley 2006;Del Molino et al 2008;Khaidukov et al 2016) specifically aimed to attenuate the flexural wave. Modelling has been performed to look at the effect of various sources (Rendleman and Levin 1990) and also to derive (Press and Ewing 1951a) and model the flexural wave itself (Yang and Yates 1995;Rovetta et al 2009b).…”

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confidence: 99%

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Seismic on floating ice: data acquisition versus flexural wave noise

Johansen

Ruud

Tømmerbakke

et al. 2019

Geophysical Prospecting

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Geophysical surveying of the Arctic will become increasingly important in future prospecting and monitoring of the terrestrial and adjacent areas in this hemisphere. Seismic data acquired on floating ice are hampered with extensive noise due to ice vibrations related to highly dispersive ice flexural waves generated by the seismic source. Several experiments have been conducted on floating ice in van Mijenfjorden in Svalbard in the Norwegian Arctic to specifically analyse the extent of flexural waves recorded with various seismic receivers and sources deployed both on top of ice and in the water below. The data show that flexural waves are severely damped at 5 m or deeper below the ice and hydrophone data suffer less from these vibrations compared with data recorded on the ice. Aliasing of single receiver hydrophone data can to some extent be suppressed using an in‐line line source of detonating cord. Experiments on ice on shallow water show prominent guided wave modes often referred to as Scholte waves propagating along the seabed. In this case, both flexural and Scholte waves interfere and make a complicated pattern of coherent noise. On shallow water, the positioning and type of the seismic source must be evaluated with respect to the coherent noise generated by these waves. Geophone strings of 25 m effectively suppress both flexural and Scholte waves due to their relative short wavelengths. An airgun generates relative more low‐frequency energy than a surface source of detonating cord. Accordingly, seismic mapping of deep seismic horizons seem to be best achieved using geophone strings of such length and an airgun source. For shallow targets, the use of hydrophones in combination with detonating cord is an appropriate solution. Seismic surveying in the Arctic always have to follow environmental restrictions of not disturbing or harming wildlife and not causing permanent footprints into the vulnerable tundra, which implies that the choice of seismic acquisition strategy might occur as a trade‐off between optimum data quality and environmental constraints.

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Seismic on floating ice: data acquisition versus flexural wave noise

Johansen

Ruud

Tømmerbakke

et al. 2019

Geophysical Prospecting

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“…Unlike conventional beamforming (slant stack), the timedelay in this approach is a nonlinear function of distance. Further advances were achieved by Khaidukov et al (2016). Building on this earlier work we introduce nonlinear beamforming for enhancing challenging pre-stack land seismic data with low signal-to-noise ratio caused by strong near-surface scattering.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear beamforming for enhancing pre-stack data with challenging near surface or overburden

Bakulin

Silvestrov

Dmitriev

et al. 2017

SEG Technical Program Expanded Abstracts 2017

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Modern seismic data acquired with dense high-channel count acquisition systems are very challenging to process, especially in the presence of a complex near surface or overburden. To address this issue, we develop a nonlinear beamforming algorithm for pre-stack data enhancement that searches for nonlinear local coherent events in the data and performs partial summation along the estimated trajectories. Nonlinear beamforming shows excellent results when applied to synthetic as well as challenging land data acquired in an arid environment. Specifically, it enables more robust estimation of pre-stack parameters as well as better imaging.

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Enhancement of seismic data gathered by floating ice acquisition: Application of local kinematic attributes

Cited by 2 publications

References 8 publications

Seismic on floating ice: data acquisition versus flexural wave noise

Seismic on floating ice: data acquisition versus flexural wave noise

Nonlinear beamforming for enhancing pre-stack data with challenging near surface or overburden

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