Multiterm multiple prediction using separated reflections and diffractions combined with curvelet-based subtraction

TitleMultiterm multiple prediction using separated reflections and diffractions combined with curvelet-based subtraction
Publication TypeConference
Year of Publication2007
AuthorsVerschuur, DJ, Deli Wang, Felix J. Herrmann
Conference NameSEG Technical Program Expanded Abstracts
Volume26
Page2535-2539
OrganizationSEG
KeywordsPresentation, SEG, SLIM
Abstract

The surface-related multiple elimination (SRME) method has proven to be successful on a large number of data cases. Most of the applications are still 2D, as the full 3D implementation is still expensive and under development. However, the earth is a 3D medium, such that 3D effects are difficult to avoid. Most of the 3D effects come from diffractive structures, whereas the specular reflections normally have less of a 3D behavior. By separating the seismic data in a specular reflecting and a diffractive part, multiple prediction can be carried out with these different subsets of the input data, resulting in several categories of predicted multiples. Because each category of predicted multiples can be subtracted from the input data with different adaptation filters, a more flexible SRME procedure is obtained. Based on some initial results from a Gulf of Mexico dataset, the potential of this approach is investigated. {\copyright}2007 Society of Exploration Geophysicists

URLhttps://slim.gatech.edu/Publications/Public/Conferences/SEG/2007/verschuur07SEGmmp/verschuur07SEGmmp.pdf
DOI10.1190/1.2792993
Presentation

https://slim.gatech.edu/Publications/Public/Conferences/SEG/2007/verschu...

Citation Keyverschuur2007SEGmmp