Acquisition Geometry-aware Focal Deblending

Kontakis, Apostolos; Wu, Siliang; Verschuur, D.J.

doi:10.3997/2214-4609.201601411

Cited by 3 publications

(2 citation statements)

References 20 publications

(22 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, it is convenient to combine shot-repetition codes with other blending codes because of the same general source-blending representation. Kontakis et al (2016) domain can improve separating the interfering energy in deblending on the condition of a sufficiently dense source sampling. The deblending framework based on the shaping regularization proposed by Chen et al (2014) offers a flexible way to control deblending using sparsity or coherency constraints.…”

Section: Discussionmentioning

confidence: 99%

Shot repetition: An alternative seismic blending code in marine acquisition

Blacquière

Groenestijn

2018

GEOPHYSICS

View full text Add to dashboard Cite

In blended seismic acquisition, or simultaneous source seismic acquisition, source encoding is essential at the acquisition stage to allow for separation of the blended sources at the processing stage. In land seismic surveys, the vibroseis sources may be encoded with near-orthogonal sweeps for blending. In marine seismic surveys, the sweep type of source encoding is difficult because the main source type in marine seismic exploration is the air-gun array, which has an impulsive character. Another issue in marine streamer seismic data acquisition is that the spatial source sampling is generally coarse. This hinders the deblending performance of algorithms based on the random time delay blending code that inherently requires a dense source sampling because they exploit the signal coherency in the common-receiver domain. We have developed an alternative source code called shot repetition that exploits the impulsive character of the marine seismic source in blending. This source code consists of repeated spikes of ones and can be realized physically by activating a broadband impulsive source more than once at (nearly) the same location. Optimization of the shot-repetition type of blending code was done to improve the deblending performance. As a result of using shot repetition, the deblending process can be carried out in individual shot gathers. Therefore, our method has no need for a regular dense source sampling: It can cope with irregular sparse source sampling; it can help with real-time data quality control. In addition, the use of shot repetition is beneficial for reducing the background noise in the deblended data. We determine the feasibility of our method on numerical examples.

show abstract

Section: Discussionmentioning

confidence: 99%

Shot repetition: An alternative seismic blending code in marine acquisition

Blacquière

Groenestijn

2018

GEOPHYSICS

View full text Add to dashboard Cite

show abstract

“…In Kontakis et al. (2016), a deblending comparison between the double focal transform (using one‐way propagation operators) and the single‐sided focal transform (using two‐way propagation operators) can be found. The single‐sided focal transform was then used in the smart sub‐set implementation of focal deblending for ocean bottom node (OBN) surveys (Kontakis & Verschuur, 2017a).…”

Section: Introductionmentioning

confidence: 99%

Focal deblending: Marine data processing experiences

Kontakis

Verschuur

2023

Geophysical Prospecting

View full text Add to dashboard Cite

In contrast to conventional acquisition practices, simultaneous source acquisition allows for overlapping wavefields to be recorded. Relaxing the shot schedule in this manner has certain advantages, such as allowing for faster acquisition and/or denser shot sampling. This flexibility usually comes at the cost of an extra step in the processing workflow, where the wavefields are deblended, that is, separated. An inversion‐type algorithm for deblending, based on the focal transform, is investigated. The focal transform uses an approximate velocity model to focus seismic data. The combination of focusing with sparsity constraints is used to suppress blending noise in the deblended wavefield.The focal transform can be defined in different ways to better match the spatial sampling of different types of marine surveys. To avoid solving a large inverse problem, involving a large part of the survey simultaneously, the input data can be split into sub‐sets that are processed independently. We discuss the formation of such sub‐sets for ocean bottom node and streamer‐type acquisitions. Two deblending experiments are then carried out. The first is on numerically blended ocean bottom node field data. The second is on field‐blended towed streamer data with a challenging signal overlap. The latter experiment is repeated using curvelet‐based deblending for comparison purposes, showing the virtues of the focal deblending process. Several challenges of basing deblending around the focal transform are discussed as well as some suggestions for improved implementations.

show abstract

Joint deblending and data reconstruction with focal transformation

Cao

Verschuur

et al. 2019

GEOPHYSICS

View full text Add to dashboard Cite

Blended or simultaneous source shooting is becoming more widely used in seismic exploration and monitoring, which can provide significant uplift in terms of acquisition quality and economic efficiency. Effective deblending techniques are essential to make use of existing processing and imaging methodologies. When dealing with coarse and/or irregularly sampled blended data, the aliasing noise of incomplete data will affect the deblending process and the crosstalk in the blended data will also have a negative influence on the process of data reconstruction. Thus, we have developed a joint deblending and data-reconstruction method using the double-focal transformation to eliminate blending noise and aliasing noise in the coarse, blended data. Numerically blended synthetic and field-data examples demonstrate the validity of its application for deblending and data reconstruction. We also investigate the effect of random noise on the recovery process, and it shows that the algorithm would obtain optimum results after applying a denoising process before deblending and data reconstruction.

show abstract

Acquisition Geometry-aware Focal Deblending

Cited by 3 publications

References 20 publications

Shot repetition: An alternative seismic blending code in marine acquisition

Shot repetition: An alternative seismic blending code in marine acquisition

Focal deblending: Marine data processing experiences

Joint deblending and data reconstruction with focal transformation

Contact Info

Product

Resources

About