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/10754/631146
MetadataShow full item record
AbstractWe present a workflow for reconstructing a high-quality zero-offset reflection section from prestack data. This workflow constructs a migration image volume by prestack time migration (PSTM) using a series of constant-velocity models. A deblurring filter for each constant-velocity model is applied to each time-migration image to get a deblurred image volume. In order to preserve all events in the image volume, each deblurred image panel is demigrated and then summed over the velocity axis. The resulting demigration section is equivalent to a zero-offset reflection section. Compared with the workflow without a deblurring filter, the composite zero-offset reflection section has higher resolution and a better signal-to-noise ratio. Numerical tests are used to validate the effectiveness of this method with both synthetic and field data.
CitationFeng S, Yilmaz O, Chen Y, Schuster GT (2018) Zero-offset sections with a deblurring filter in the time domain. SEG Technical Program Expanded Abstracts 2018. Available: http://dx.doi.org/10.1190/segam2018-2996099.1.
SponsorsThe research reported in this publication was supported by the King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia. We are grateful to the sponsors of the Center for Subsurface Imaging and Modeling Consortium for their financial support. For computer time, this research used the resources of the Supercomputing Laboratory at KAUST and the IT Research Computing Group. We thank them for providing the computational resources required for carrying out this work.
PublisherSociety of Exploration Geophysicists
Conference/Event name88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018