Application of Self-adaptive Noise-cancellation Technique in Seismic Data Processing
Xuewei Liu · Journal of Oil and Gas Technology · 2008
The noise generated by machines and power interfered in collecting seismic signals in some special fields such as factories usually contaminated the seismic data. The conventional filtering method would damage the seismic signal and prove inadequately in removing the strong noise with broad frequency band from the seismic signal. An self-adaptive noise-cancellation technique was studied to remove the machine noise and the power interference after analyzing the relation and differences between the machine noise and the seismic data. A new algorithm was presented to remove the strong background noise aiming at the shortcomings of the conventional NLMS-based technique. The results of simulation and the collected seismic data processing show that adaptive noise cancellation technique has good effect on reducing the strong machine noise and the power interference with little distortion of seismic signal.