Near-surface velocity modeling using correlation-based first arrival traveltime tomography
- Dong Cui (Research Institute of Petroleum Exploration & Development, PetroChina) | Ying Hu (Research Institute of Petroleum Exploration & Development, PetroChina) | Yan Zhang (Research Institute of Petroleum Exploration & Development, PetroChina) | Cai Zhang (Research Institute of Petroleum Exploration & Development, PetroChina) | Yujie Zhang (Institute of Geology and Geophysics, China Academy of Sciences)
- Document ID
- Society of Exploration Geophysicists
- 2018 SEG International Exposition and Annual Meeting, 14-19 October, Anaheim, California, USA
- Publication Date
- Document Type
- Conference Paper
- 2018. Society of Exploration Geophysicists
- Correlation, Traveltime, Tomography
- 0 in the last 30 days
- 8 since 2007
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Near-surface velocity model is the key issue to seismic imaging and static correction. It has becomes a broad consensus that it is velocity model, not imaging algorithm, determines the quality of image. Waveform tomography or FWI is a powerful tool to obtain underground velocity. However, the application of waveform tomography has some obstacles. One of the biggest problems that prevent the application is the non-linear waveform misfit function. Correlation-based first arrival travletime tomography could obtain highly accurate velocity model in complex structure district using cross-correlation misfit function, and even don’t need to pick first arrival time or wavelet. Though this method appears to provide less model resolution compared to waveform tomography, this method could work well in those places traditional ray-based tomography may fail because of the high velocity layer exposing to the ground. Theory and numerical example indicate that this method could accurately perform near-surface velocity modeling and has a broad application prospect.
Presentation Date: Wednesday, October 17, 2018
Start Time: 1:50:00 PM
Location: Poster Station 22
Presentation Type: Poster
|File Size||490 KB||Number of Pages||5|
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