Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 설순지 | - |
dc.date.accessioned | 2018-11-21T00:45:12Z | - |
dc.date.available | 2018-11-21T00:45:12Z | - |
dc.date.issued | 2016-09 | - |
dc.identifier.citation | GEOPHYSICAL JOURNAL INTERNATIONAL, v. 206, NO. 3, Page. 1831-1846 | en_US |
dc.identifier.issn | 0956-540X | - |
dc.identifier.issn | 1365-246X | - |
dc.identifier.uri | https://academic.oup.com/gji/article/206/3/1831/2583543 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/80545 | - |
dc.description.abstract | Typically, seismic data are sparsely and irregularly sampled due to limitations in the survey environment and these cause problems for key seismic processing steps such as surface-related multiple elimination or wave-equation-based migration. Various interpolation techniques have been developed to alleviate the problems caused by sparse and irregular sampling. Among many interpolation techniques, matching pursuit interpolation is a robust tool to interpolate the regularly sampled data with large receiver separation such as crossline data in marine seismic acquisition when both pressure and particle velocity data are used. Multicomponent matching pursuit methods generally used the sinusoidal basis function, which have shown to be effective for interpolating multicomponent marine seismic data in the crossline direction. In this paper, we report the use of wavelet basis functions which further enhances the performance of matching pursuit methods for de-aliasing than sinusoidal basis functions. We also found that the range of the peak wavenumber of the wavelet is critical to the stability of the interpolation results and the de-aliasing performance and that the range should be determined based on Nyquist criteria. In addition, we reduced the computational cost by adopting the inner product of the wavelet and the input data to find the parameters of the wavelet basis function instead of using L-2 norm minimization. Using synthetic data, we illustrate that for aliased data, wavelet-based matching pursuit interpolation yields more stable results than sinusoidal function-based one when we use not only pressure data only but also both pressure and particle velocity together. | en_US |
dc.description.sponsorship | This work was supported by the Human Resources Program in Energy Technology of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea (No. 20134010200520) and the Korea Meteorological Administration Research and Development Program under grant KMIPA (KMIPA2015-7012). | en_US |
dc.language.iso | en | en_US |
dc.publisher | OXFORD UNIV PRESS | en_US |
dc.subject | Fourier analysis | en_US |
dc.subject | Wavelet transform | en_US |
dc.subject | Spatial analysis | en_US |
dc.title | Wavelet-based multicomponent matching pursuit trace interpolation | en_US |
dc.type | Article | en_US |
dc.relation.no | 3 | - |
dc.relation.volume | 206 | - |
dc.identifier.doi | 10.1093/gji/ggw246 | - |
dc.relation.page | 1831-1846 | - |
dc.relation.journal | GEOPHYSICAL JOURNAL INTERNATIONAL | - |
dc.contributor.googleauthor | Choi, Jihun | - |
dc.contributor.googleauthor | Byun, Joongmoo | - |
dc.contributor.googleauthor | Seol, Soon Jee | - |
dc.contributor.googleauthor | Kim, Young | - |
dc.relation.code | 2016000242 | - |
dc.sector.campus | S | - |
dc.sector.daehak | RESEARCH INSTITUTE[S] | - |
dc.sector.department | PETROLEUM AND MINERAL RESEARCH INSTITUTE | - |
dc.identifier.pid | ssjdoolly | - |
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