


 Tomographic full waveform inversion (TFWI) by combining full waveform inversion with waveequation migration velocity analysis  

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Tomographic full waveform inversion (TFWI) by combining full waveform inversion with waveequation migration velocity analysis
Biondo Biondi and Ali Almomin
Abstract:
By extending the velocitymodel domain to subsurface offsets
we solve the localminima problem of datafitting waveform inversion.
We then regularize the extendedmodel datafitting inversion
with the addition of an imagefocusing term to the objective
function,
therefore achieving robust global convergence of
the waveform inversion problem.
The method shares with full waveform inversion the advantage of
simultaneously solving for all the wavelengths of the model,
but it also has the global convergence characteristics of
waveequation migration velocity analysis.
Numerical implementation of the proposed inversion
method requires the solution
of an extended waveequation where velocity is a convolutional,
instead of scalar, operator.
The resulting method is therefore computationally intensive,
but it can be easily tested in 2D.
A simple example with a Gaussian velocity anomaly illustrates how
the reflections from the anomaly recorded in the lowfrequency components
of the data increase the spatial resolution of the final inversion results.
Numerical tests performed on synthetic data
from a modified Marmousi model demonstrate
the global convergence as well the highresolution potential of the
method.



 Tomographic full waveform inversion (TFWI) by combining full waveform inversion with waveequation migration velocity analysis  

Next: Introduction
Up: Reproducible Documents
20120510