1887

Abstract

In this paper, we present a new method for Q estimation in the presence of unreliable frequency ranges. Those unreliable frequencies can be caused by noise in distinct frequency ranges or destructive interference, for instance, from free-surface ghost reflections. We introduce the usage of noise-model or ghost-model-based weighting functions for spectral-division-based Q-estimation methods. The benefits of using noise or ghost models are demonstrated for a common-ray-parameter-based Q estimation on synthetic data. The proposed modifications are suitable for any frequency-based Q-estimation method.

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/content/papers/10.3997/2214-4609.20149154
2011-05-23
2020-04-03
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20149154
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