Adapting to noisy 3D data ‐ attenuating the acquisition footprint

Drummond, Jock; Budd, A. J. L.; Ryan, James W.

doi:10.1190/1.1816247

Cited by 26 publications

(12 citation statements)

References 1 publication

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“…() draw some attention to the acquisition footprint in their analysis of the influence of the acquisition geometry and processing on the final data quality. Several methods were proposed to remove such artefacts (e.g., Drummond, Budd, and Ryan (); Al‐Bannagi et al . (); Soubaras (); Gulunay, Benjamin, and Magesan ()).…”

Section: Application To Data Acquired In Hardrock Environmentmentioning

confidence: 99%

Enhancing 3D post‐stack seismic data acquired in hardrock environment using 2D curvelet transform

Górszczyk

Malinowski

Bellefleur

2015

Geophysical Prospecting

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A B S T R A C TSeismic data acquired in hardrock environment pose a special challenge for processing. Frequent lack of clear coherent events hinders imaging and interpretation. Additional difficulty arises from the presence of significant amount of cultural noise associated with production and processing of ore, which often remains in the processed, stacked data. Motivated by those challenges, we developed an efficient workflow of denoising 3D post-stack seismic data by using 2D discrete curvelet transform aimed at improving signal-to-noise ratio of the data. Our approach is based on the adjustment of the thresholds according to scales and angles in the curvelet domain, making parameterization flexible. We demonstrate effectiveness of our method using 3D post-stack volumes from the three different mining camps in Canada, which were characterized by variable data quality. Remarkable signal enhancement, confirmed by the improvements in the mean signal-to-noise ratio of the dataset, is obtained not only due to random energy attenuation but also by removal of certain features corrupting the data (e.g., acquisition footprint). Comparison with the F-X/F-XY deconvolution results shows the superiority of our algorithm in respect to signal enhancement, signal preservation, and amount of the removed noise. Imaged structures, even if initially dominated by random energy, are easier to follow after curvelet denoising and enhanced for interpretation. Therefore, our approach can significantly reduce interpretation uncertainties when dealing with the seismic data acquired in the hardrock environment.

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Section: Application To Data Acquired In Hardrock Environmentmentioning

confidence: 99%

Enhancing 3D post‐stack seismic data acquired in hardrock environment using 2D curvelet transform

Górszczyk

Malinowski

Bellefleur

2015

Geophysical Prospecting

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“…Typically, footprint noise cannot be removed completely but can be suppressed. For this study, a method utilizing footprint attenuation by wave number notch filtering (Drummond et al, 2000) was employed. 3.…”

Section: Ant Tracking On the Jip_ac21 Seismic Cubementioning

confidence: 99%

Seismic imaging of migration pathways by advanced attribute analysis, Alaminos Canyon 21, Gulf of Mexico

Miller

Dasgupta

Shelander

2012

Marine and Petroleum Geology

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“…However, other signi¢cant causes include: (1) poor acquisition design, (2) processing errors and (3) aliased coherent noise from backscattered surface waves (Marfurt et al, 1998). Drummond et al (2000) point out that much of the coherent noise in shot records are often composed of guided waves propagating in near surface layers. In the marine environment by far the best source of guided waves is the water column where there is total internal re£ection at both the sedimentŵ ater and air^water interfaces.The impact of guided waves generated within the water column will be most marked in shallow water areas such as the West Shetland shelf.…”

Section: Survey Footprintmentioning

confidence: 99%

Some considerations on the interpretation of seabed images based on commercial 3D seismic in the Faroe‐Shetland Channel

Bulat

2005

Basin Research

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Commercial three‐dimensional (3D) seismic surveys now cover much of the continental slope and basin floor areas of the Faroe‐Shetland Channel. A mosaic of the seabed picks derived from these data sets and enhancement with visualisation techniques has resulted in detailed relief images of the seabed that testify to the action of a number of sedimentary processes such as glaciation, downslope and alongslope processes. The wealth of detail in these images is remarkable and extremely valuable for the identification and interpretation of seabed features. However, the level of detail can seduce the interpreter into treating the image purely as an aerial photograph. The interpreter needs to understand the limitations and artefacts inherent in such images to use them appropriately. This paper will present the major artefacts observed in the images and how certain aspects of 3D seismic survey acquisition and processing have contributed to their presence. The vertical and horizontal resolution of the images will also be discussed. Although primarily focused on seabed imagery these comments are equally pertinent to the application of 3D seismic surveys for shallower objectives than for which they were primarily designed.

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Adapting to noisy 3D data ‐ attenuating the acquisition footprint

Cited by 26 publications

References 1 publication

Enhancing 3D post‐stack seismic data acquired in hardrock environment using 2D curvelet transform

Enhancing 3D post‐stack seismic data acquired in hardrock environment using 2D curvelet transform

Seismic imaging of migration pathways by advanced attribute analysis, Alaminos Canyon 21, Gulf of Mexico

Some considerations on the interpretation of seabed images based on commercial 3D seismic in the Faroe‐Shetland Channel

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