1887

Abstract

Summary

Although, with the usual seismic acquisition, much of the information about subsurface parameters is contained in the reflections data, many of the current Full Waveform Inversion applications still focus on the use of the transmitted energy (i.e. refractions). In order to reduce the dependency on refractions, in this work we propose to pre-process the recorded and the simulated signals with an exponential function in order to be able to exploit the Normalized Integration Method also for reflection data. Tests on synthetic data shows that the resulting new cost function is more robust with respect to the cycle skip compared to the standard least squares cost function. We show the results of the proposed method on two simple synthetic datasets and on a more realistic one characterized by complex geology and strong velocity contrasts.

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/content/papers/10.3997/2214-4609.201901269
2019-06-03
2024-05-25
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