3D super-virtual refraction interferometry
Author(s) -
Kai Lu,
Abdullah AlTheyab,
Gerard T. Schuster
Publication year - 2014
Publication title -
king abdullah university of science and technology repository (king abdullah university of science and technology)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1190/segam2014-0822.1
Subject(s) - refraction , interferometry , azimuth , offset (computer science) , convolution (computer science) , computer science , geology , seismic interferometry , noise (video) , optics , physics , artificial intelligence , artificial neural network , image (mathematics) , programming language
Super-virtual refraction interferometry enhances the signal-to-noise ratio of far-offset refractions. However, when applied to 3D cases, traditional 2D SVI suffers because the stationary positions of the source-receiver pairs might be any place along the recording plane, not just along a receiver line. Moreover, the effect of enhancing the SNR can be limited because of the limitations in the number of survey lines, irregular line geometries, and azimuthal range of arrivals. We have developed a 3D SVI method to overcome these problems. By integrating along the source or receiver lines, the cross-correlation or the convolution result of a trace pair with the source or receiver at the stationary position can be calculated without the requirement of knowing the stationary locations. In addition, the amplitudes of the cross-correlation and convolution results are largely strengthened by integration, which is helpful to further enhance the SNR. In this paper, both synthetic and field data examples are presented, demonstrating that the super-virtual refractions generated by our method have accurate traveltimes and much improved SNR
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