Dispersive noise attenuation

McConnell, Joseph R.; Potts, Mark J.; Schleicher, Karl; Wason, Cameron B.

doi:10.1190/1.1893044

Cited by 5 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The dominant noise in the data is the ice flexural mode (Ewing and Crary 1934;Lewis 1973;Shei et al 1983;Lansley et al 1984;Proubasta 1985;McConnell et al 1986;Barton et al 1986;Beresford-Smith and Rango 1988;Barr et al 1993;Del Molino et al 2008). This noise is linear, has a frequency range of 10-20 Hz, and is high-amplitude.…”

Section: Processingmentioning

confidence: 99%

A high-resolution, multi-channel, over-sea-ice seismic reflection survey over the Mackay Sea Valley, Granite Harbor, Antarctica

2011

View full text Add to dashboard Cite

In the austral summer of 2007, 20.5 km of high-resolution over-sea-ice seismic reflection data were collected in the Granite Harbor region of southern McMurdo Sound over the Mackay Sea Valley. The goal of the survey was to image thin pelagic sediment deposited in the Mackay Sea Valley after the Last Glacial Maximum. A generator-injector air gun was lowered beneath the sea ice through holes drilled by an auger drill system. The recording system was a 60 channel snow streamer with vertically oriented gimbaled geophones spaced 25 m apart. Unique problems in the over-sea-ice seismic reflection survey-noise from the ice column flexing and timing delays caused by trapped air at previous shot points-were overcome to improve the quality of the seismic data. The Mackay Sea Valley survey produced seismic data with a vertical resolution of 6.3 m. The processed seismic data show pelagic sediment thickness of up to 50 m within the Mackay Sea Valley with some locations showing possible older sediments beneath the pelagic sediment layer.

show abstract

Section: Processingmentioning

confidence: 99%

A high-resolution, multi-channel, over-sea-ice seismic reflection survey over the Mackay Sea Valley, Granite Harbor, Antarctica

2011

View full text Add to dashboard Cite

show abstract

“…The improvement in SIN is not as profound with the ... .., .., Data sets in the arctic regions are notorious for poor SIN, and often are excellent candidates for phase-matched filters (Barton et al, 1986;McConnell et al, 1986;and BeresfordSmith and Rango, 1988). Our data set, the vertical-component traces shown in Figure 7a, was acquired on land, and is not overwhelmed by the dispersive flexural waves typical of data acquisition on winter ice sheets.…”

Section: Oklahoma Field Datamentioning

confidence: 99%

Ground roll: Rejection using polarization filters

Shieh

Herrmann

1990

GEOPHYSICS

View full text Add to dashboard Cite

Ground roll noise on land data sets overwhelms the desired reflection seismic signal unless special steps are taken in data acquisition and processing to control it. This is usually done in the field by the design of group arrays for data acquisition. On the other hand, if multicomponent data are acquired, it is possible to remove ground roll during processing using polarization analysis. Even though this processing is computation-intensive, the potential exists for obtaining results similar to conventional data acquisition, but with deployment of fewer sensors in the field with minimal group array effects. It also has potential for deriving new information.We describe a two-dimensional polarization-filter analysis for use with vertical and in-line sensors. A time-domain spectral matrix technique is developed since the recorded seismic signal is the superposition of multiple signals in the time domain, each with different frequency content and time-varying polarization. This technique is implemented by decomposing the signal into individual frequency components using narrow band-pass filters and defining the polarization characteristic using sliding time windows. We show that both incoherent noise and specific linearly polarized constituents can be successfully filtered.

show abstract

“…These arrivals were set up by a moving surface source, the air wave propagating across the array at Permafrost Data sets in the arctic regions are notorious for poor signalto-noise ratios and are often excellent candidates for phasematched filters. Barton et al, (1986), McConnell et al, 1986),and Beresford-Smith and Rango (1988 discuss the problems with data acquisition on floating ice sheets. Our data set, Figure 8a, was acquired on land and is not overwhelmed by the dispersive flexural waves.…”

Section: West Texasmentioning

confidence: 99%

“…A similar technique has been applied to the problem of seismic data acquisition on ice to remove the dispersive flexural wave (Barton et aI., 1986;McConnell et al, 1986;Beresford-Smith and Rango, 1988). These approaches used a phase-matched filter and anf-k analysis to define the dispersion operator, though Barton et al (1986) recognized the problems with lateral changes in dispersion.…”

Section: West Texasmentioning

confidence: 99%

Ground roll: Rejection using adaptive phase‐matched filters

Herrmann

Russell

1990

GEOPHYSICS

View full text Add to dashboard Cite

The technique of phase-matched filtering dispersivesurface waves is extended to permit an adaptive, iterative process by which the signal itself in a seismic trace designs a filter to remove the surface wave. The technique is robust and well-behaved and requires the specification of only simple parameters for its operation.The technique is applied to data sets from three regions, representing a wide range in the ratio of surface-wave noise to exploration signal. The technique works very well with poor data sets and also improves good data sets. Since the technique is applied to individual traces, it works in situations for whichf-k filtering might not be feasible due to poor spatial sampling. The technique is computationally more intensive than recursive digital band-pass filtering of individual traces, but is less intensive than filtering in the f-k domain.

show abstract

Dispersive noise attenuation

Cited by 5 publications

References 0 publications

A high-resolution, multi-channel, over-sea-ice seismic reflection survey over the Mackay Sea Valley, Granite Harbor, Antarctica

A high-resolution, multi-channel, over-sea-ice seismic reflection survey over the Mackay Sea Valley, Granite Harbor, Antarctica

Ground roll: Rejection using polarization filters

Ground roll: Rejection using adaptive phase‐matched filters

Contact Info

Product

Resources

About