Seismic interference noise attenuation

Gülünay, Necati; Magesan, M.; Baldock, S.

doi:10.1190/1.1843302

Cited by 21 publications

(8 citation statements)

References 7 publications

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“…Elements of the shot record processing sequence have been successfully illustrated on two important pre-processing steps: data regularization and 3D SRME. If we consider that we can utilize existing shot-based 3D noise attenuation solutions for random and impulsive noise, seismic interference (Gulunay, 2004), and diffractions (Gulunay, 2005), we may conclude that the entire WATS pre-processing sequence could be performed efficiently in the shot domain. When combined with existing shot record wave equation imaging and new tools for azimuthal velocity model building, it is easy to envisage a complete shot record processing and imaging solution for wide azimuth data which makes full use of the recorded 3D wavefield.…”

Section: Resultsmentioning

confidence: 99%

Shot-based pre-processing solutions for wide azimuth towed streamer datasets

Herrmann¹,

Poole²,

Pica³

et al. 2007

First Break

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Section: Resultsmentioning

confidence: 99%

Shot-based pre-processing solutions for wide azimuth towed streamer datasets

Herrmann¹,

Poole²,

Pica³

et al. 2007

First Break

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“…This has been successfully illustrated on two important pre-processing steps: data regularization and 3D SRME. If we consider that we can utilise existing shot based 3D noise attenuation solutions for random and impulsive noise, seismic interference (Gulunay, 2004), and diffractions (Gulunay, 2005), we may conclude that the entire WATS pre-processing sequence can be performed efficiently in the shot domain.…”

Section: Resultsmentioning

confidence: 99%

Shot Based Pre-Processing Solutions for a WATS Survey – An Example from a Field Trial in Green Canyon – Gulf of Mexico

Ferran¹,

Magesan²,

Kaculini³

et al. 2007

69th EAGE Conference and Exhibition Incorporating SPE EUROPEC 2007

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In July 2006, a 3D Wide Azimuth Towed Streamer (WATS) field trial was carried out in a deep water area of Green Canyon in the Gulf of Mexico. The purpose was to provide insight into the potential problems and complexities of such seismic datasets and to challenge conventional and newly developed true 3D preprocessing sequence algorithms. The results indicate that a 3D shot based processing sequence is an effective and flexible processing solution that realizes the maximum benefit of a full 3D wave field recorded as a Wide Azimuth acquisition and properly takes into account all the effects related to the complexity of the acquisition.

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“…Because of this, SI noise might overlap with sub-surface layer reflections which can have significantly lower amplitudes. SI can, therefore, be harmful to a number of processing operations such as deghosting, demultiple, velocity estimations and amplitude versus offset analysis (Gulunay, Magesan and Baldock 2004). Figure 1 illustrates SI noise-contaminated shot gathers with varying angle and distance to the source vessel.…”

Section: H a R A C T E R I S T I C S O F S E I S M I C I N T E R F mentioning

confidence: 99%

Attenuation of marine seismic interference noise employing a customized U‐Net

Sun

Slang

Elboth

et al. 2020

Geophysical Prospecting

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A B S T R A C TMarine seismic interference noise occurs when energy from nearby marine seismic source vessels is recorded during a seismic survey. Such noise tends to be well preserved over large distances and causes coherent artefacts in the recorded data. Over the years, the industry has developed various denoising techniques for seismic interference removal, but although well performing, they are still time-consuming in use. Machine-learning-based processing represents an alternative approach, which may significantly improve the computational efficiency. In the case of conventional images, autoencoders are frequently employed for denoising purposes. However, due to the special characteristics of seismic data as well as the noise, autoencoders failed in the case of marine seismic interference noise. We, therefore, propose the use of a customized U-Net design with element-wise summation as part of the skip-connection blocks to handle the vanishing gradient problem and to ensure information fusion between high-and low-level features. To secure a realistic study, only seismic field data were employed, including 25,000 training examples. The customized U-Net was found to perform well, leaving only minor residuals, except for the case when seismic interference noise comes from the side. We further demonstrate that such noise can be treated by slightly increasing the depth of our network. Although our customized U-Net does not outperform a standard commercial algorithm in quality, it can (after proper training) read and process one single shot gather in approximately 0.02 s. This is significantly faster than any existing industry denoising algorithm. In addition, the proposed network processes shot gathers in a sequential order, which is an advantage compared with industry algorithms that typically require a multi-shot input to break the coherency of the noise.

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Seismic interference noise attenuation

Abstract: Attenuation of seismic interference noise that overpowers seismic reflections can be achieved by making use of wellknown f-x prediction filters and the non-predictability of interfering noise from shot to shot.

Cited by 21 publications

References 7 publications

Shot-based pre-processing solutions for wide azimuth towed streamer datasets

Shot-based pre-processing solutions for wide azimuth towed streamer datasets

Shot Based Pre-Processing Solutions for a WATS Survey – An Example from a Field Trial in Green Canyon – Gulf of Mexico

Attenuation of marine seismic interference noise employing a customized U‐Net

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