3D Super-virtual Refraction Interferometry
dc.contributor.author | Lu, Kai | |
dc.contributor.author | Chávez-Pérez, Sergio | |
dc.date.accessioned | 2020-02-10T14:51:44Z | |
dc.date.available | 2020-02-10T14:51:44Z | |
dc.date.issued | 2020-01-21 | |
dc.date.submitted | 2019-02-24 | |
dc.identifier.citation | Lu, K., & Chávez-Pérez, S. (2020). 3D Super-virtual Refraction Interferometry. GEOPHYSICS, 1–46. doi:10.1190/geo2019-0097.1 | |
dc.identifier.doi | 10.1190/geo2019-0097.1 | |
dc.identifier.uri | http://hdl.handle.net/10754/661456 | |
dc.description.abstract | We present the theory and practice of 3D supervirtual interferometry (SVI) for enhancing the signal-to-noise ratio of refraction arrivals in 3D data. Unlike 2D SVI, 3D SVI requires an extra integration along the inline direction to compute the stationary source-receiver pairs for enhanced stacking of the refraction events. The result is a significant increase in the signal-to-noise ratio of first arrivals in the far-offset traces. Both 3D synthetic and field data examples are presented to demonstrate the effectiveness of the proposed method. For the synthetic data tests, SVI extended the source-receiver offset range of pickable traces from 11 km to 15 km. In the field data example, SVI extended the source-receiver offset of traces with pickable first-arrival traveltimes from 12 km to a maximum of 18 km, and the total number of reliable traveltime picks was increased by 12%, which contributed to a deeper velocity update in the traveltime tomogram. | |
dc.description.sponsorship | 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. | |
dc.publisher | Society of Exploration Geophysicists | |
dc.relation.url | https://library.seg.org/doi/10.1190/geo2019-0097.1 | |
dc.rights | Archived with thanks to GEOPHYSICS. Reuse is subject to SEG terms of use and conditions. | |
dc.title | 3D Super-virtual Refraction Interferometry | |
dc.type | Article | |
dc.contributor.department | Earth Science and Engineering Program | |
dc.contributor.department | Physical Science and Engineering (PSE) Division | |
dc.identifier.journal | GEOPHYSICS | |
dc.eprint.version | Post-print | |
dc.contributor.institution | Instituto Mexicano del Petróleo, Mexico City, Mexico. | |
kaust.person | Lu, Kai | |
kaust.grant.number | OCRF-2014-CRG3-2300 | |
dc.date.accepted | 2020-01-20 | |
refterms.dateFOA | 2020-02-10T14:52:28Z | |
kaust.acknowledged.supportUnit | IT Research Computing Group | |
kaust.acknowledged.supportUnit | Supercomputing Laboratory at KAUST | |
dc.date.published-online | 2020-01-21 | |
dc.date.published-print | 2020-05-01 |
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