High-resolution seismic data regularization and wavefield separation. Issue 1 (15th January 2018)

• Record Type: Journal Article
• Authors: Cao, Aimin; Stump, Brian; DeShon, Heather
• Is Part Of: Geophysical journal international. Volume 213:Issue 1(2018:Apr.)
• Page Start: 684
• Page End: 694
• Publication Date: 2018-01-15
• Subjects: Fourier analysis -- Computational seismology -- Wave propagation; Geophysics -- Periodicals; 550
• DOI: 10.1093/gji/ggy009
• Languages: English
• ISSNs: 0956-540X

Abstract

Summary: We present a new algorithm, non-equispaced fast antileakage Fourier transform (NFALFT), for irregularly sampled seismic data regularization. Synthetic tests from 1-D to 5-D show that the algorithm may efficiently remove leaked energy in the frequency wavenumber domain, and its corresponding regularization process is accurate and fast. Taking advantage of the NFALFT algorithm, we suggest a new method (wavefield separation) for the detection of the Earth's inner core shear wave with irregularly distributed seismic arrays or networks. All interfering seismic phases that propagate along the minor arc are removed from the time window around the PKJKP arrival. The NFALFT algorithm is developed for seismic data, but may also be used for other irregularly sampled temporal or spatial data processing.