Ground‐roll attenuation based on SVD filtering

Abstract

We present a singular value decomposition (SVD) filtering method for attenuation of the ground roll. Before the SVD computation, the normal move‐out (NMO) correction is applied to the seismograms, with the purpose of flattening the reflections. SVD is performed on a small number of traces in a sliding window. The output trace is the central trace of the first few eigenimages. These contains mostly horizontally aligned signals, and other noise in the data will be suppressed. The new method preserves the character and frequency content of the horizontal reflections and attenuates all other type of events. We illustrate the method using land seismic data of the Tacutu basin, located in the north‐east part of Brazil. The results show that the proposed method is effective and is able to reveal reflections masked by the ground‐roll.