Spectral implementation of full waveform inversion based on reflections
Type
Conference PaperAuthors
Wu, Zedong
Alkhalifah, Tariq Ali

KAUST Department
Earth Science and Engineering ProgramEnvironmental Science and Engineering Program
Physical Science and Engineering (PSE) Division
Seismic Wave Analysis Group
Date
2014Permanent link to this record
http://hdl.handle.net/10754/564851
Metadata
Show full item recordAbstract
Using the reflection imaging process as a source to model reflections for full waveform inversion (FWI), referred to as reflection FWI (RFWI), allows us to update the background component of the model, and avoid using the relatively costly migration velocity analysis (MVA), which usually relies on extended images. However, RFWI requires a good image to represent the current reflectivity, as well as, some effort to obtain good smooth gradients. We develop a spectral implementation of RFWI where the wavefield extrapolations and gradient evaluation are performed in the wavenumber domain, obtaining clean dispersion free and fast extrapolations. The gradient, in this case, yields three terms, two of which provide us with each side of the rabbit ear kernel, and the third, often ignored, provides a normalization of the reflectivity within the kernel, which can be used to obtain a reflectivity free background update. Since the image is imperfect (it is an adjoint, not an inverse), an optimization process for the third term scaling is implemented to achieve the smoothest gradient update. A rare application of RFWI on the reflectivity infested Marmousi model shows some of the potential of the approach.Citation
Wu, Z., & Alkhalifah, T. (2014). Spectral Implementation of Full Waveform Inversion Based on Reflections. Proceedings 76th EAGE Conference and Exhibition 2014. doi:10.3997/2214-4609.20140853Publisher
EAGE PublicationsConference/Event name
76th European Association of Geoscientists and Engineers Conference and Exhibition 2014: Experience the Energy - Incorporating SPE EUROPEC 2014ISBN
9781632666949ae974a485f413a2113503eed53cd6c53
10.3997/2214-4609.20140853