Print Email Facebook Twitter Estimating primaries by sparse inversion and application to near-offset data reconstruction Title Estimating primaries by sparse inversion and application to near-offset data reconstruction Author Van Groenestijn, G.J.A. Verschuur, D.J. Faculty Applied Sciences Department Imaging Science and Technology Date 2009-04-27 Abstract Accurate removal of surface-related multiples remains a challenge in many cases. To overcome typical inaccuracies in current multiple-removal techniques, we have developed a new primary-estimation method: estimation of primaries by sparse inversion (EPSI). EPSI is based on the same primary-multiple model as surface-related multiple elimination (SRME) and also requires no subsurface model. Unlike SRME, EPSI estimates the primaries as unknowns in a multidimensional inversion process rather than in a subtraction process. Furthermore, it does not depend on interpolated missing near-offset data because it can reconstruct missing data simultaneously. Sparseness plays a key role in the new primary-estimation procedure. The method was tested on 2D synthetic data. Subject data analysisgeophysical techniques To reference this document use: http://resolver.tudelft.nl/uuid:8645d61c-e1be-4c89-8be3-7488bd8b77d1 DOI https://doi.org/10.1190/1.3111115 Publisher Society of Exploration Geophysicists ISSN 0016-8033 Source Geophysics, 74 (3), 2009 Part of collection Institutional Repository Document type journal article Rights (c) 2009 Society of Exploration Geophysicists Files PDF vanGroenestijn_2009.pdf 594.26 KB Close viewer /islandora/object/uuid:8645d61c-e1be-4c89-8be3-7488bd8b77d1/datastream/OBJ/view