Type
Conference PaperKAUST Department
Center for Subsurface Imaging and Fluid ModelingEarth Science and Engineering Program
Physical Science and Engineering (PSE) Division
Date
2014-08-05Online Publication Date
2014-08-05Print Publication Date
2014-08-05Permanent link to this record
http://hdl.handle.net/10754/593344
Metadata
Show full item recordAbstract
The quality of migration images depends on the accuracy of the velocity model. For large velocity errors, the migration image is strongly distorted, which unflattens events in the common image gathers and consequently leads to a blurring in the stacked migration image. To mitigate this problem, we propose dynamic image warping to flatten the common image gathers before stacking and to enhance the signal-to-noise ratio of the migration image. Numerical tests on the Marmousi model and GOM data show that image warping of the prestack images followed by stacking leads to much better resolved reflectors than the original migration image. The problem, however, is that the reflector locations have increased uncertainty because the wrong velocity model is still used.Citation
Zhang*, D., Wang, X., Huang, Y., & Schuster, G. (2014). Warping for trim statics. SEG Technical Program Expanded Abstracts 2014. doi:10.1190/segam2014-0281.1Publisher
Society of Exploration GeophysicistsConference/Event name
SEG Technical Program Expanded Abstracts 2014Additional Links
http://library.seg.org/doi/abs/10.1190/segam2014-0281.1ae974a485f413a2113503eed53cd6c53
10.1190/segam2014-0281.1