Joint hydrophone and accelerometer receiver deghosting using sparse Tau-P inversion

Wang, Ping; Jin, Hongzheng; Chen, Peng; Ray, Suryadeep

doi:10.1190/segam2014-0865.1

Cited by 8 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Its effectiveness needs to be further evaluated by comparing with that using multi-sensor data (Wang et al, 2014) as input. Its effectiveness needs to be further evaluated by comparing with that using multi-sensor data (Wang et al, 2014) as input.…”

Section: Discussionmentioning

confidence: 99%

Single-Component 3D Deghosting and Crossline Interpolation

2015

Self Cite

View full text Add to dashboard Cite

For marine towed-streamer seismic data, the sparse crossline sampling imposes a Nyquist limitation for many processing steps that require either f -k (frequency-wavenumber) or f -p (frequency-slowness) transforms in the crossline direction. For this reason, 3D deghosting and crossline interpolation have been considered extremely difficult to perform using only single-component towed-streamer seismic data. We present a progressive sparse -p x -p y inversion scheme to perform 3D deghosting and crossline interpolation using single-component seismic data. Using field data examples, we demonstrate that our 3D deghosting algorithm effectively attenuates the ghost and works better than the GWE (Ghost Wavefield Elimination) method for full-azimuth data with strong 3D effects. We also demonstrate that by using our algorithm, it is possible to perform single-component joint 3D deghosting and crossline interpolation in the presence of strong spatial aliasing in the crossline direction. We show that the interpolation of the high-frequency events may be sub-optimal in deep time windows when the signal-to-noise ratio of high-frequency events is low.

show abstract

Section: Discussionmentioning

confidence: 99%

Single-Component 3D Deghosting and Crossline Interpolation

2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…The formulations given above may be modified for the case of multi-sensor receivers (for example following, Poole, 2014or Wang et al, 2014. Based on the equations may be modified to compensate for shot-toshot directional source signature variations.…”

Section: Methodsmentioning

confidence: 99%

Wave height guided multishot receiver deghosting

Poole

King

2016

SEG Technical Program Expanded Abstracts 2016

View full text Add to dashboard Cite

Many hydrophone only receiver deghosting algorithms make a flat sea surface assumption. In the case of significant ocean swell a variable free-surface datum is imposed and this assumption will not be met, resulting in degraded results. We extend a multi-shot receiver deghosting approach that satisfies the recorded primary and ghost wavefields by incorporating the presence of a variable free-surface at the source and receiver sides. The approach derives a τ-p sht-p rec model of the data at mean free-surface datum to estimate and remove the ghost. The approach is shown to produce high resolution receiver deghosting results with improved spatial consistency on a variable-depth streamer dataset from the North Sea.

show abstract

“…Receiver deghosting a contiguous group of shots simultaneously may take advantage of notch diversity occurring due to variations in wave height between shots. The approach is compatible with multi-level sources and variable-depth streamers with single or multi-sensor receivers (for example, Poole, 2014or Wang et al, 2014b. In addition, the equations may be further modified to model multiples following Poole et al (2015).…”

Section: Figurementioning

confidence: 99%