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http://dx.doi.org/10.9720/kseg.2019.2.153

Seismic Weathering Correction Using IRS Approach: A Test to the Synthetic Data of Cheongju Granitic Bodies  

Kang, Yu-Gyeong (Department of Earth and Environmental Sciences, Chungbuk National University)
Sa, Jin-Hyeon (Department of Earth and Environmental Sciences, Chungbuk National University)
Kim, Ji-Soo (Department of Earth and Environmental Sciences, Chungbuk National University)
Kim, Jong-Woo (Department of Civil Engineering, Cheongju University)
Publication Information
The Journal of Engineering Geology / v.29, no.2, 2019 , pp. 153-162 More about this Journal
Abstract
Rapid variations in the geometry (i.e., thickness) of the refractor and low velocities affect greatly the imaging of the reflectors of land seismic data. Conventional solutions to obtain the weathering models utilizes first break picking method, which requires time consuming steps and causes the human error in picking the first arrivals. A new interferometric approach (interferometric refraction statics, IRS) which utilizes the first arrival signal (S/N enhanced by refraction convolution stack) instead of first break picking, is tested in this study to the synthetic data from the velocity structure provided by surface geophysics (refraction, MASW) and borehole geophysics (tomography, SPS logging) for the Cheongju granitic bodies. The results of IRS approach are found to be better than the ones from conventional first break picking in terms of continuities and horizontal resolution of the reflectors. The unresolved long-wavelength statics in brute stack are much removed by IRS weathering correction and the overlying refractors (the base of shallow weathering zone) are incidentally delineated in the refraction convolution stack.
Keywords
land seismic data; weathering correction; interferometric refraction statics (IRS); refraction convolution stack (RCS);
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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