TY - JOUR
T1 - 3D super-virtual refraction interferometry
AU - Lu, Kai
AU - AlTheyab, Abdullah
AU - Schuster, Gerard T.
N1 - KAUST Repository Item: Exported on 2020-04-23
Acknowledged KAUST grant number(s): OCRF-2014-CRG3-2300
Acknowledgements: The research is supported by funding from King Abdullah University of Science and Technology (KAUST) and grant agreement number OCRF-2014-CRG3-2300. For computer time, this research used the resources of the IT Research Computing Group and Supercomputing Laboratory at KAUST. We thank them for providing the computational resources required for carrying out this work. We sincerely thank PEMEX for providing the data used in this study (Lu et al., 2014), and CNH, Mexico, for further permission to conclude and publish our work.
PY - 2014/8/5
Y1 - 2014/8/5
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/661456
UR - https://library.seg.org/doi/10.1190/geo2019-0097.1
U2 - 10.1190/segam2014-0822.1
DO - 10.1190/segam2014-0822.1
M3 - Article
SN - 0016-8033
VL - 33
SP - 1
EP - 46
JO - GEOPHYSICS
JF - GEOPHYSICS
ER -