Mitigate cycle skipping in FWI: A generalized instanatenous travel-time approach
B Sun, T Alkhalifah - 80th EAGE Conference and Exhibition 2018, 2018 - earthdoc.org
Considering the complex nonlinearity between seismic data and perturbations in the model,
a waveform optimization problem based on the least square sample-to-sample comparison
has proven to be inadequate in dealing with such nonlinearity. A slew of more global
comparison based optimizations have proven their values in circumventing such
nonlinearity. Among these methods in particular, adaptive waveform inversion (AWI), which
is based on the deconvolution operator, offers the right balance between phase matching …
a waveform optimization problem based on the least square sample-to-sample comparison
has proven to be inadequate in dealing with such nonlinearity. A slew of more global
comparison based optimizations have proven their values in circumventing such
nonlinearity. Among these methods in particular, adaptive waveform inversion (AWI), which
is based on the deconvolution operator, offers the right balance between phase matching …
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