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Abstract

Summary

Seismic data are always contaminated with noise. An essential stage of any seismic processing sequence is to detect and suppress noise from the seismic data. Several processing methods have been proposed to attenuate high energy coherent noise such as ground roll. However, its adverse effects are still frequently observed in the seismic processing products, which can adversely affect subsequent signal processing steps. In this paper, we present a simple and robust technique, called Targeted Noise Attenuation (TNA), to detect and suppress high energy coherent noise from the seismic data. The TNA filtering consists of several stages including (1) data conditioning to ensure the reliability of the amplitudes, (2) high amplitude noise detection by the means of the trace envelope, (3) blind de-noising, and (4) merging of the original data and the blind de-noised data to reconstruct the final filtered product. The approach presented in this paper is effective not only to suppress the ground roll noise, but also to attenuate noise generated from water pumps, powerline, airwaves. Our numerous applications of TNA to real 2D and 3D seismic data from different areas have proved the effectiveness of TNA in suppressing high amplitude localized noise in seismic data.

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/content/papers/10.3997/2214-4609.201600693
2016-05-30
2024-03-29
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References

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