Seismic Periodic Noise Attenuation Based on Sparse Representation Using a Noise Dictionary

Periodic noise is a well-known problem in seismic exploration, caused by power lines, pump jacks, engine operation, or other interferences. It contaminates data and affects subsequent processing interpretation. The conventional methods to attenuate periodic are notch filtering some model-based methods. However, these either simultaneously events around the same frequencies, need expensive computation time. In this work, new method proposed based on sparse representation. We use dictionary sparsely represent noise. constructed ambient An advantage of our that it can automatically suppress monochromatic noise, multitoned even with complex waveforms without pre-known frequencies. addition, does not result any notches spectrum. Synthetic field examples demonstrate effectively subtract from raw damaging useful signal.