Ground Rolls Attenuation using Bandlimited Signal-and-Noise Orthogonalization - The OZ-25 Dataset Case Study

The bandpass filtering is a common way for estimating the ground rolls in land seismic data because of the low-frequency property of ground rolls. However, the frequency-mixing problem makes bandpass filtering inconvenient or even impossible to achieve a successful removal of ground rolls. In this paper, we propose a novel band-limited orthogonalization approach for removing ground rolls without harming useful primary reflections. We orthogonalize the initially denoised signal via bandpass filtering with a relatively high low-boundfrequency (LBF), and the corresponding noise section that contains loss of primary reflections, using local signal-andnoise orthogonalization. The local orthogonalization guarantees that the least coherent primary reflections are lost in the noise section. The procedure of the proposed approach is very convenient to implement because only a bandpass filtering and a regularized division between the initially denoised signal and initial noise are used. The OZ-25 field dataset demonstrates a successful performance using the proposed approach.