Surface wave attenuation of seismic records with the co-core trace transform filter

Abstract

To remove surface waves from seismic records while preserving other seismic events of interest, we introduced a transform and a filter based on recent developments in image processing. The transform can be seen as a weighted Radon transform, in particular along linear trajectories. The weights in the transform are data dependent and designed to introduce large amplitude differences between surface waves and other events such that surface waves could be separated by a simple amplitude threshold. This is a key property of the filter and distinguishes this approach from others, such as conventional ones that use information on moveout ranges to apply a mask in the transform domain. Initial experiments with synthetic records and field data have demonstrated that, with the appropriate parameters, the proposed trace transform filter performs better both in terms of surface wave attenuation and reflected signal preservation than the conventional methods. Further experiments on larger data sets are needed to fully assess the method.

Removal of Random Noise in Seismic Data by Time-varying Window-length Time-frequency Peak Filtering

“…Seismic random noise could be effectively attenuated by these two aforementioned procedures. For special cases in which the signal is linear in time and embedded in stationary white Gaussian noise, TFPF could give an absolutely unbiased estimation, and the bias B(t) is written as (Wu et al 2011…”

“…Seismic data can be affected by both coherent and random noise (Groos and Ritter 2009). Coherent noise can be effectively removed during field processing by the wavelet method, singular value decomposition, and the recently proposed co-core trace transform method (see Lu 2006, Wu et al 2011, for a review). Random noise can complicate both seismic prospecting and earthquake seismology.…”