Print Email Facebook Twitter Closed-Loop Surface Related Multiple Estimation Title Closed-Loop Surface Related Multiple Estimation Author Lopez Angarita, G.A. (TU Delft ImPhys/Acoustical Wavefield Imaging) Contributor de Jong, N. (promotor) Verschuur, D.J. (copromotor) Degree granting institution Delft University of Technology Date 2016-11-15 Abstract Surface-related multiple elimination (SRME) is one of the most commonly used methods for suppressing surface multiples. However, in order to obtain an accurate surface multiple estimation, dense source and receiver sampling is required. The traditional approach to this problem is performing data interpolation prior to multiple estimation. Though appropriate in many cases, this methodology fails when big data gaps are present or when relevant information is not recovered, e.g. near-offset data in shallow-water environments. We propose a solution in which multiple estimation is performed simultaneously with data reconstruction, such that data reconstruction helps obtaining better multiple estimates and in which the physical primary-multiple relationship helps constraining the data interpolation. To accomplish this we propose to extend the recently introduced Closed-Loop SRME (CL-SRME) algorithm to account for primary estimation in the case of coarsely sampled data. This is achieved by introducing a focal domain parameterization of the primaries in a sparsity-promoting CL-SRME method. Results proof that the method is capable of reliably estimating primaries data in case of shallow water and with large undersampling factors. Subject Closed LoopSurface MultiplesMultiplesMultiple ScatteringMultiple EstimationSRMEEPSIDelphi multiplesCL-SRME To reference this document use: https://doi.org/10.4233/uuid:99e0af9f-067e-4e67-8c81-d5beca0aeb18 ISBN 978-94-6233-465-6 Part of collection Institutional Repository Document type doctoral thesis Rights © 2016 G.A. Lopez Angarita Files PDF main.pdf 5.67 MB Close viewer /islandora/object/uuid:99e0af9f-067e-4e67-8c81-d5beca0aeb18/datastream/OBJ/view