Super-virtual refraction interferometry: Field data example over a colluvial wedge

Sherif M. Hanafy; Ola AlHagan; Feras Al-Tawash

doi:10.1190/1.3628001

Super-virtual refraction interferometry: Field data example over a colluvial wedge

Sherif M. Hanafy^*
, Ola AlHagan
, Feras Al-Tawash

^*Corresponding author for this work

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

17 Scopus citations

Abstract

The theory of super-virtual refraction interferometry was recently developed to enhance the signal-to-noise ratio (SNR) of far-offset traces in refraction surveys. This enhancement of 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 enhancement of SNR of the super-virtual refraction traces for seismic data 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.

Original language	English
Pages (from-to)	3814-3818
Number of pages	5
Journal	SEG Technical Program Expanded Abstracts
Volume	30
Issue number	1
DOIs	https://doi.org/10.1190/1.3628001
State	Published - Jan 2011
Externally published	Yes

Keywords

Near surface
Noise
Refraction

ASJC Scopus subject areas

Geotechnical Engineering and Engineering Geology
Geophysics

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10.1190/1.3628001

Cite this

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title = "Super-virtual refraction interferometry: Field data example over a colluvial wedge",

abstract = "The theory of super-virtual refraction interferometry was recently developed to enhance the signal-to-noise ratio (SNR) of far-offset traces in refraction surveys. This enhancement of 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 enhancement of SNR of the super-virtual refraction traces for seismic data 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.",

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AU - Hanafy, Sherif M.

AU - AlHagan, Ola

AU - Al-Tawash, Feras

PY - 2011/1

Y1 - 2011/1

N2 - The theory of super-virtual refraction interferometry was recently developed to enhance the signal-to-noise ratio (SNR) of far-offset traces in refraction surveys. This enhancement of 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 enhancement of SNR of the super-virtual refraction traces for seismic data 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.

AB - The theory of super-virtual refraction interferometry was recently developed to enhance the signal-to-noise ratio (SNR) of far-offset traces in refraction surveys. This enhancement of 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 enhancement of SNR of the super-virtual refraction traces for seismic data 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.

KW - Near surface

KW - Noise

KW - Refraction

UR - https://www.scopus.com/pages/publications/84857582860

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JO - SEG Technical Program Expanded Abstracts

JF - SEG Technical Program Expanded Abstracts

IS - 1

ER -

Super-virtual refraction interferometry: Field data example over a colluvial wedge

Abstract

Keywords

ASJC Scopus subject areas

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