Efficient quasi-P wavefield extrapolation using an isotropic lowrank approximation
Type
Conference PaperAuthors
Zhang, Z.Alkhalifah, Tariq Ali

KAUST Department
Earth Science and Engineering ProgramPhysical Science and Engineering (PSE) Division
Seismic Wave Analysis Group
Date
2017-03-13Permanent link to this record
http://hdl.handle.net/10754/663931
Metadata
Show full item recordAbstract
Usually the computational cost of the quasi-P simulation depends on the complexity of the medium, and specifically the anisotropy. The effective-model method splits the anisotropic dispersion relation to an isotropic background and a correction factor that depends on the gradient of the wavefields. As a result, the computational cost is independent of the nature of anisotropy, which makes the extrapolation efficient. A dynamic implementation of this approach decomposes the original pseudo-differential operator into a Laplacian, handled using the low-rank approximation of the spectral operator, and an angular dependent correction factor applied in the space domain to correct for anisotropy. We analyze the role played by the correction factor and propose a new spherical decomposition. The proposed method provides accurate wavefields in phase and a more balanced amplitude. Also, it is free of SV-wave artifacts. Applications to a simple homogeneous VTI model and the revised Hess VTI model demonstrate the effectiveness of the approach.Citation
Zhang, Z., & Alkhalifah, T. (2016). Efficient Quasi-P Wavefield Extrapolation Using an Isotropic Lowrank Approximation. 78th EAGE Conference and Exhibition 2016. doi:10.3997/2214-4609.201600814Sponsors
We thank KAUST for its support and the SWAG members especially Zedong and Nabil for their valuable insights, as well as Yike Liu for his help. We thank Hess cooperation for the VTI model.Publisher
EAGE PublicationsConference/Event name
78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking PotentialISBN
9789462821859ae974a485f413a2113503eed53cd6c53
10.3997/2214-4609.201600814