Filtering of a Ricker wavelet induced by anelastic seismic wave propagation and reflection

Author:

Ker Stephan1ORCID,Le Gonidec Yves2

Affiliation:

1. IFREMER, Géosciences Marines, Centre de Brest, 29280 Plouzané, France

2. Univ Rennes, CNRS, Géosciences Rennes, UMR 6118, 35000 Rennes, France

Abstract

AbstractA varying Q factor with depth induces modifications of seismic wave features due to anelastic propagation but also reflections at the discontinuities. Standard signal analysis methods often neglect the reflection contribution when assessing Q values from seismic data. We have developed an analytical quantification of the cumulative effects of both the propagation and reflection contributions by considering Kjartansson's model and a seismic plane wave at normal incidence on a step-like discontinuity. We show that the cumulative effects are equivalent to a frequency filter characterised by a bandform and phase that both depend on the ratio between the elastic and anelastic contrasts. When considering this filter applied to a Ricker wavelet, we establish an analytical expression of the peak-frequency attribute as a function of propagation and reflection properties. We demonstrate that this seismic attribute depends on the anelastic contrast, which cannot be neglected when assessing Q factors: the error in Q estimate is not linearly dependent on the anelastic contrast and we establish an analytical expression for the case where this contrast is weak. An unexpected phenomenon for a step-like interface is an increase in the peak frequency that is observed when the anelastic and elastic contrasts have opposite signs, with a constraint on the anelastic propagation properties. This behaviour allows for assessment of the elastic and anelastic parameters.

Publisher

Oxford University Press (OUP)

Subject

Management, Monitoring, Policy and Law,Industrial and Manufacturing Engineering,Geology,Geophysics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Adaptive Noise Reduction Method for Microseismic Data Using Parameter-Free Fuzzy Clustering;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Attempts to increase communication rates with explosive acoustic sources for underwater communications;Journal of Physics: Conference Series;2024-07-01

3. The nth Power Fourier Spectrum Analysis for the Generalized Seismic Wavelets;IEEE Transactions on Geoscience and Remote Sensing;2023

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