Frequency-dependent AVO inversion applied to physically based models for seismic attenuation

SUMMARY Seismic inversion of amplitude versus offset (AVO) data in viscoelastic media can potentially provide high-resolution subsurface models seismic velocities and attenuation from offset/angle gathers. P- S-wave quality factors (Q), whose inverse represent a measure attenuation, depend on reservoir rock pore fluid properties, particular, saturation, permeability, porosity, viscosity lithology; however, these are rarely taken into account AVO inversion. For this reason, work, we aim to integrate derived physically based by proposing gradient descent optimization-based technique predict the unknown model properties (P- velocities, related density). The proposed minimizes non-linear least-squares misfit with observed data. optimal solution is iteratively obtained optimizing using second-order limited-memory quasi-Newton technique. forward performed frequency–frequency-angle domain convolution broad-band signals linearized frequency-dependent (FAVO) equation. optimization includes adjoint-state-based gradients Lagrangian formulation improve efficiency FAVO process. tested synthetic data, 1-D 2-D, without noise. sensitivity for evaluated various physics factors. results demonstrate that method reliably retrieves elastic an-elastic good convergence accuracy. stability especially estimation relies noise level We further investigate uncertainty as function variability initial models.