碩士 / 國立中央大學 / 地球科學學系 / 107 / The Pre-Stack Diffraction-Stack Depth Migration (PreSDSDM) algorithm was implemented with short-offset Marine Multichannel Seismic (MCS) data, the MGL0908-TST survey, and Long-offset active source land seismic from Transect T4b Line of TAIGER Project. Tomographic velocity models from Kuo-Chen et al. (2012), Huang et al. (2014), and Roma (2018) are also utilized in this study to derive 1D velocity for implementing PreSDSDM.
For deep structure imaging with seismic data. The imaging principle follows generalized imaging conditions for 3D depth migration. Resolving power of proposed approach depends on propagating velocity and frequency bandwidth of waveform, geometry of source-receiver pair and spatial aperture coverage of available data. Such kinds of details were discussed in this study.
Current results shows outstanding output for MGL0908-TST survey. Several detailed structural were distinguishable and supports several interpretation from other study. On the other hand, the results from active source land seismic survey from TAIGER project surfers from insufficient source and receiver coverage, crooked line, multiple diving wave (Huang et al., 2013), and low signal to noise ration. However, we’re still able to distinguish features that indicates certain structures, such as basement under Coastal Plain and Chukou Fault which is on the eastern side of shot point 2. In addition, apparent migration smiles could be found on the image migrated with different tomographic velocity model. Such fact implies that, current tomographic velocity models appear to overestimate velocity at the shallow part of subsurface..
Further improvement could be made in the future for better imaging results, such as adopting full 3D depth migration, improving steps for data conditioning, and to uses passive source for imaging.
Identifer | oai:union.ndltd.org:TW/107NCU05134029 |
Date | January 2019 |
Creators | Haw-Chun Wang, 王顥鈞 |
Contributors | How-Wei Chen, 陳浩維 |
Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
Language | en_US |
Detected Language | English |
Type | 學位論文 ; thesis |
Format | 200 |
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