KAUST DepartmentCenter for Subsurface Imaging and Fluid Modeling
Earth Science and Engineering Program
Physical Science and Engineering (PSE) Division
Online Publication Date2018-08-27
Print Publication Date2018-08-27
Permanent link to this recordhttp://hdl.handle.net/10754/631486
MetadataShow full item record
AbstractSeismic waves traveling in the earth experience amplitude loss and velocity dispersion associated with strong subsurface attenuation. To compensate for these effects, the Q model should be first estimated and the data can be corrected. However, Q estimation from the data can be challenging if the data have a poor signal-to-noise ratio. To mitigate this problem, we develop a wave-equation Q inversion method in the image domain. This method seeks a Q model which minimizes the local wavenumber differences between a reference image without Q effects, and a Q migration image computed with the current Q model. Numerical tests on synthetic data demonstrate that the Q model inverted by this image-domain Q inversion method can lead to a noticeable improvement in the migration image quality.
CitationChen Y, Dutta G, Schuster GT (2018) Image-domain Q inversion. SEG Technical Program Expanded Abstracts 2018. Available: http://dx.doi.org/10.1190/segam2018-2997203.1.
SponsorsWe thank the sponsors of the CSIM consortium, the KAUST Supercomputing Laboratory and IT Research Computing Group.
PublisherSociety of Exploration Geophysicists
Conference/Event name88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018