Reflected waveform inversion (RWI) provides a method to reduce the nonlinearity of the standard full waveform inversion (FWI) by inverting for the background model using a single scattered wavefield from an inverted perturbation. However, current RWI methods are mostly based on isotropic media assumption. We extend the idea of the combining inversion for the background model and perturbations to address transversely isotropic with a vertical axis of symmetry (VTI) media taking into consideration of the optimal parameter sensitivity information. As a result, we apply Born modeling corresponding to perturbations in only for the variable to derive the relative reflected waveform inversion formulation. To reduce the number of parameters, we assume the background part of and work with a single variable to describe the anisotropic part of the wave propagation. Thus, the optimization variables are the horizontal velocity , = and the perturbation. Application to the anisotropic version of Marmousi model with a single frequency of 2.5 Hz shows that this method can converge to the accurate result starting from a linearly increasing isotropic initial velocity. Application to a real dataset demonstrates the versatility of the approach.
Presentation Date: Tuesday, October 18, 2016
Start Time: 1:25:00 PM
Presentation Type: ORAL