Velocity Inversion by Coherency Optimization
Symes, William W.
We introduce an approach to velocity and reflectivity estimation based on optimizing the coherence of multiple shot-gather inversions of reflection seismograms. The resulting algorithm appears to avoid the severe convergence difficulties reported for output (nonlinear) least-squares inversion. We describe in detail an algorithm appropriate for the layered acoustic model, using the convolutional model of the plane-wave (<em>p</em>-tau) seismogram. We give a theoretical analysis and numerical evidence that coherency optimization, as defined here, yields stable and reasonably accurate estimates of both velocity trend and reflectivity, by exploiting reflection phase moveout and amplitudes in a computationally efficient way. We also indicate how the approach may be modified to apply to laterally heterogeneous acoustic models, and (more briefly) to determination of elastic models and source parameters as well.
Citable link to this pagehttps://hdl.handle.net/1911/101640
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