Structural similarity regularization scheme for multiparameter seismic full waveform inversion

Conference paper (2013)

Authors

Maokun Li Student

L. Liang Student

Aria Abubakar Student

P.M. van den Berg

Algorithm Frequency-domain , full-waveform inversion

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Published Date

2013

Language

English

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Abstract

We introduce a new regularization scheme for multiparameter seismic full-waveform inversion (FWI). Using this scheme, we can constrain spatial variations of parameters which are having a weak sensitivity with the one that having a good sensitivity to the measurement, assuming that these parameters have similarities in their structures. In seismic FWI, we apply this scheme when inverting the P-wave velocity and mass density simultaneously. Results from numerical tests show that this scheme may significantly improve the reconstruction of the mass density. Since we obtain an improved mass-density distribution, the inverted P-wave velocity is also enhanced. Hence, we also obtain a better data fit. As numerical examples we show inversions of both vertical seismic profiling (VSP) and surface seismic measurements.