Type
ArticleKAUST Department
Earth Science and Engineering ProgramPhysical Science and Engineering (PSE) Division
Seismic Wave Analysis Group
KAUST Grant Number
CRG3Date
2016-04-28Online Publication Date
2016-04-28Print Publication Date
2016-05Permanent link to this record
http://hdl.handle.net/10754/609002
Metadata
Show full item recordAbstract
Extended images obtained from reverse time migration (RTM) contain information about the accuracy of the velocity field and subsurface illumination at different incidence angles. Here, we evaluate the influence of errors in the anisotropy parameters on the shape of the residual moveout (RMO) in P-wave RTM extended images for VTI (transversely isotropic with a vertical symmetry axis) media. Using the actual spatial distribution of the zero-dip NMO velocity (Vnmo), which could be approximately estimated by conventional techniques, we analyze the extended images obtained with distorted fields of the parameters η and δ. Differential semblance optimization (DSO) and stack-power estimates are employed to study the sensitivity of focusing to the anisotropy parameters. We also build angle gathers to facilitate interpretation of the shape of RMO in the extended images. The results show that the signature of η is dip-dependent, whereas errors in δ cause defocusing only if that parameter is laterally varying. Hence, earlier results regarding the influence of η and δ on reflection moveout and migration velocity analysis remain generally valid in the extended image space for complex media. The dependence of RMO on errors in the anisotropy parameters provides essential insights for anisotropic wavefield tomography using extended images.Citation
Analysis of RTM extended images for VTI media 2016, 81 (3):S0 GEOPHYSICSSponsors
We are grateful to Paul Sava (CWP) and members of the A(nisotropy) and i(maging) teams at CWP for useful discussions. Model 2 represents a modified version of the TTI model created by Hemang Shah of BP (http://www.freeusp.org/2007_BP_Ani_Vel_ Benchmark/). This publication is based upon work supported by the Consortium Project on Seismic Inverse Methods for Complex Structures at CWP and the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. OCRF-2014- CRG3-32140407/ORS#2230. The reproducible numeric examples in this paper use the Madagascar open-source software package (Fomel et al., 2013a) freely available from http://www.ahay.org.Publisher
Society of Exploration GeophysicistsJournal
GEOPHYSICSAdditional Links
http://library.seg.org/doi/10.1190/geo2015-0384.1ae974a485f413a2113503eed53cd6c53
10.1190/geo2015-0384.1