Super-virtual Interferometric Separation and Enhancement of Back-scattered Surface Waves
KAUST DepartmentEarth Science and Engineering Program
Physical Sciences and Engineering (PSE) Division
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AbstractBack-scattered surface waves can be migrated to detect near-surface reflectors with steep dips. A robust surface-wave migration requires the prior separation of the back-scattered surface-wave events from the data. This separation is often difficult to implement because the back-scattered surface waves are masked by the incident surface waves. We mitigate this problem by using a super-virtual interferometric method to enhance and separate the back-scattered surface waves. The key idea is to calculate the virtual back-scattered surface waves by stacking the resulting virtual correlated and convolved traces associated with the incident and back-scattered waves. Stacking the virtual back-scattered surface waves improves their signal-to-noise ratio and separates the back-scattered surface-waves from the incident field. Both synthetic and field data results validate the robustness of this method.
CitationBowen Guo*, Sherif Hanafy, and Gerard Schuster (2015) Super-virtual Interferometric Separation and Enhancement of Back-scattered Surface Waves. SEG Technical Program Expanded Abstracts 2015: pp. 5092-5096. doi: 10.1190/segam2015-5859452.1
PublisherSociety of Exploration Geophysicists