Full-waveform inversion (FWI) has become a popular method to retrieve high-resolution subsurface model parameters. An accurate simulation of wave propagation plays an important role in achieving better data fitting. For intrinsically attenuative media, wave propagation experiences dispersion and loss of energy. Thus, it is sometimes crucial to consider the intrinsic attenuation of the Earth in the FWI implementation. Viscoacoustic FWI aims at achieving a joint inversion of the velocity and attenuative models. However, multiparameter FWI imposes additional challenges including expanding the null space problem and the parameter trade-off issue. We use an efficient wavefield inversion (EWI) method to invert for the velocity and the intrinsic attenuation, sequentially. This approach is implemented in the frequency domain, and the velocity, in this case, is complex-valued in the viscoacoustic EWI. The inversion for the velocity and the intrinsic attenuation is handled in separate optimizations. As viscoacoustic EWI is able to recover a good velocity model, the velocity update leakage to the Q model is largely reduced. We show the effectiveness of this approach using synthetic data generated for a viscoacoustic Marmousi model.


Article metrics loading...

Loading full text...

Full text loading...


  1. Alkhalifah, T. and Song, C.
    [2019] An efficient wavefield inversion: Using a modified source function in the wave equation.Geophysics, 84(6), R921–R934.
    [Google Scholar]
  2. Alkhalifah, T. and Wu, Z.
    [2016] Multiscattering inversion for low-model wavenumbers.Geophysics, 81(6), R417–R428.
    [Google Scholar]
  3. Gao, F. and Wang, Y.
    [2016] Simultaneous inversion for velocity and attenuation by waveform tomography.Journal of Applied Geophysics, 131, 103–108.
    [Google Scholar]
  4. Hicks, G.J. and Pratt, R.G.
    [2001] Reflection waveform inversion using local descent methods: Estimating attenuation and velocity over a gas-sand deposit Waveform Inversion over a Gas Sand.Geophysics, 66(2), 598–612.
    [Google Scholar]
  5. Kamei, R. and Pratt, R.
    [2013] Inversion strategies for visco-acoustic waveform inversion.Geophysical Journal International, 194(2), 859–884.
    [Google Scholar]
  6. Leeuwen, T.V. and Herrmann, F.
    [2013] Mitigating local minima in full-waveform inversion by expanding the search space.Geophysical Journal International, 195, 661–667.
    [Google Scholar]
  7. Song, C., Wu, Z. and Alkhalifah, T.
    [2019] Passive seismic event estimation using multiscattering waveform inversion.Geophysics, 84(3), KS59–KS69.
    [Google Scholar]
  8. Tarantola, A.
    [1984] Inversion of seismic reflection data in the acoustic approximation.Geophysics, 49, 1259–1266.
    [Google Scholar]
  9. Vogel, C.R. and Oman, M.E.
    [1996] Iterative methods for total variation denoising.SIAM Journal on Scientific Computing, 17(1), 227–238.
    [Google Scholar]

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error