Efficiency of complex trace analysis to attenuate ground-roll noise from seismic data

• We use time dependent attributes as the input of running average filter to eliminate ground-roll noise from seismic data.
• Using time dependent features we are able to distinguish noise from seismic reflection, especially where they overlap each other.
• We demonstrate to eliminate ground-roll noise from seismic data, normalized phase plays significant role.
• Due to protect frequency content of signal, shadow effect- naturally resulting from AGC- does not occur for filtered data.

Ground-roll, characterized by low frequency and high amplitude, is one of the most important issues in seismic data processing. Common methods to eliminate ground-roll noise from seismic data include frequency-based methods which pose filtering the whole signal. In addition, assuming being stationary signal which attended in filter is another disadvantage of those methods; however, in this paper a new method based on using Hilbert transform to address high-amplitude, low-frequency coherent noise is proposed. In this respect the conventional seismic trace can be viewed as the real component of a complex trace. Therefore, its envelope and normalized phase, as the input of running average, are easily calculated. On the other hand, complex trace-based filtering is approached to be a method distinguishing between coherent noise and reflections overlapping each other. This is done by setting a suitable length of window on running average in order to extract low frequency components from data.