Super-virtual refraction interferometry: an engineering field data example

Sherif M. Hanafy; Ola Alhagan

doi:10.3997/1873-0604.2012032

Super-virtual refraction interferometry: an engineering field data example

Sherif M. Hanafy, Ola Alhagan

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

The theory of super-virtual refraction interferometry (SVI) was recently developed to enhance the signal-to-noise ratio (SNR) of far-offset traces in refraction surveys. This enhancement of the SNR is proportional to √N and can be as high as N if an iterative procedure is used. Here N is the number of post-critical shot positions that coincides with the receiver locations. We now demonstrate the SNR enhancement of super-virtual refraction traces for one engineering-scale synthetic data and two field seismic data sets. The field data are collected over a normal fault in Saudi Arabia. Results show that both the SNR of the super-virtual data set and the number of reliable first-arrival traveltime picks are significantly increased. © 2012 European Association of Geoscientists & Engineers.

Original language	English (US)
Pages (from-to)	443-449
Number of pages	7
Journal	Near Surface Geophysics
Volume	10
Issue number	5
DOIs	https://doi.org/10.3997/1873-0604.2012032
State	Published - Jul 1 2012

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: We would like to thank the 2010 sponsors of the CSIM Consortium for their support.

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10.3997/1873-0604.2012032

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title = "Super-virtual refraction interferometry: an engineering field data example",

abstract = "The theory of super-virtual refraction interferometry (SVI) was recently developed to enhance the signal-to-noise ratio (SNR) of far-offset traces in refraction surveys. This enhancement of the SNR is proportional to √N and can be as high as N if an iterative procedure is used. Here N is the number of post-critical shot positions that coincides with the receiver locations. We now demonstrate the SNR enhancement of super-virtual refraction traces for one engineering-scale synthetic data and two field seismic data sets. The field data are collected over a normal fault in Saudi Arabia. Results show that both the SNR of the super-virtual data set and the number of reliable first-arrival traveltime picks are significantly increased. {\textcopyright} 2012 European Association of Geoscientists & Engineers.",

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AU - Hanafy, Sherif M.

AU - Alhagan, Ola

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: We would like to thank the 2010 sponsors of the CSIM Consortium for their support.

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N2 - The theory of super-virtual refraction interferometry (SVI) was recently developed to enhance the signal-to-noise ratio (SNR) of far-offset traces in refraction surveys. This enhancement of the SNR is proportional to √N and can be as high as N if an iterative procedure is used. Here N is the number of post-critical shot positions that coincides with the receiver locations. We now demonstrate the SNR enhancement of super-virtual refraction traces for one engineering-scale synthetic data and two field seismic data sets. The field data are collected over a normal fault in Saudi Arabia. Results show that both the SNR of the super-virtual data set and the number of reliable first-arrival traveltime picks are significantly increased. © 2012 European Association of Geoscientists & Engineers.

AB - The theory of super-virtual refraction interferometry (SVI) was recently developed to enhance the signal-to-noise ratio (SNR) of far-offset traces in refraction surveys. This enhancement of the SNR is proportional to √N and can be as high as N if an iterative procedure is used. Here N is the number of post-critical shot positions that coincides with the receiver locations. We now demonstrate the SNR enhancement of super-virtual refraction traces for one engineering-scale synthetic data and two field seismic data sets. The field data are collected over a normal fault in Saudi Arabia. Results show that both the SNR of the super-virtual data set and the number of reliable first-arrival traveltime picks are significantly increased. © 2012 European Association of Geoscientists & Engineers.

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JO - Near Surface Geophysics

JF - Near Surface Geophysics

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Super-virtual refraction interferometry: an engineering field data example

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