Acquisition using simultaneous sources

Hampson, Gary; Stefani, Joe; Herkenhoff, Fred

doi:10.1190/1.2954034

Cited by 162 publications

(48 citation statements)

References 8 publications

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“…Understanding the cross-talk reducing capabilities of deconvolution imaging conditions, and the limits thereof, becomes more important as these imaging conditions become more commonly used. It is especially important when more complicated down-going fields are used, such as when down-going multiples are treated as secondary ensonification ͑Muijs et al, 2007a͒, or if multiple sources fire simultaneously ͑e.g., Hampson et al, 2008͒.…”

Section: Wave Propagation and Imagingmentioning

confidence: 99%

Deconvolution imaging conditions and cross-talk suppression

et al. 2010

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Deconvolution imaging conditions offer improved resolution over standard, crosscorrelation-based imaging conditions. Additionally, these imaging conditions produce a result more directly related to a reflection coefficient than do crosscorrelation-based imaging conditions. In simple analytical cases, deconvolution imaging conditions also offer the possibility of eliminating crosstalk ͑i.e., energy in the image due to reflected energy arriving at a location at the same time as incident energy that did not cause the reflected energy͒ when the full up-and down-going wavefields are used. This means that in such cases, surface-related multiples can be eliminated from the image, or that multiple shots could potentially be fired simultaneously without degrading the image. However, this cross-talk-suppression property is not observed in most situations. We show that this is due to a number of issues: the correct order of deconvolution must be used, stabilization causes imperfect deconvolution, finite apertures lead to some of the signal being lost, and an assumption of horizontal stratification is often not being met. Further, imperfect knowledge of the incident and reflected field due to such factors as anisotropy, poorly estimated velocity fields, and measurement noise can also lead to imperfect deconvolution. Thus, deconvolution imaging conditions should not be counted on to completely eliminate crosstalk from images.

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Section: Wave Propagation and Imagingmentioning

confidence: 99%

Deconvolution imaging conditions and cross-talk suppression

et al. 2010

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“…The major advantage of simultaneous source imaging compared to blended imaging is that simultaneous source data can be acquired using the same recording time length, whereas blended source acquisition requires long recording times due to time-delays between sources. Thus, simultaneous source imaging reduces both the cost of conventional acquisition and the data volume (Beasley, 2008;Hampson et al, 2008). However, the same problems with cross-talk in blended source imaging plague simultaneous source imaging as well (Romero et al, 2000).…”

Section: Introductionmentioning

confidence: 97%

Blended source imaging by amplitude encoding

Godwin

Sava

2010

SEG Technical Program Expanded Abstracts 2010

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The computational cost of conventional imaging is large for today's wide-azimuth seismic surveys. One strategy to reduce the overall cost of seismic imaging is to migrate with multiple shot-gathers at once, a technique which is known as blended source imaging. Blended source imaging trades the reduced cost of imaging with the presence of artifacts (cross-talk) in the image. We show that a theoretical framework using a matrix representation of the imaging process adequately describes conventional, and blended source imaging. Furthermore, the matrix representation predicts both the quantity and strength of cross-talk artifacts prior to imaging, thus allowing us to decide a priori the trade off between cross-talk and speed. By exploiting our theoretical framework, we are able to design an amplitude encoding scheme, referred to as Truncated Singular Vector (TSV), that trades a significantly reduced cost of imaging with spatial resolution and cross-talk noise. The TSV encoding allows us to reduce the cost of imaging by at least an order of magnitude relative to conventional shot-record migration. Overall, we provide a framework for finding blended source encoding schemes, that produce good quality images at lower computational cost.

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“…[6] utilizes the generally hyperbolic shape of seismic reflections in a sparse radon transform space for deblending. [7] shows that introducing random delays between the source firing results in a continuous wavefront across seismic records of an aligned source (coherence) and randomization (incoherence) of all non-aligned sources in transform domains such as common detector gather (CDG), common midpoint (CMP) and common offset gather (COG). Stacking this randomized blended data can sufficiently suppress the interference of a second source.…”

Section: Introductionmentioning

confidence: 99%

Multi-dimensional coherence deblending of simultaneous sources

Claussen

Radosavljević

Rosca

2012

2012 IEEE International Geoscience and Remote Sensing Symposium

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Recent seismic exploration research proposes blended acquisition from simultaneous sources with temporal overlap between records to reduce survey time and improve the quality of seismic imaging. However, separating source records for traditional pre-stack processing poses significant challenges. Traditional procedures are incapable to remove interference from other sources equivalent to blended noise. We propose a new approach that enforces simultaneous source coherence across multiple domains in order to estimate the maximum likely distribution of energy amongst the sources.

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Acquisition using simultaneous sources

Cited by 162 publications

References 8 publications

Deconvolution imaging conditions and cross-talk suppression

Deconvolution imaging conditions and cross-talk suppression

Blended source imaging by amplitude encoding

Multi-dimensional coherence deblending of simultaneous sources

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