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CONCLUSION

Multi-component source equalization can be carried out in the time domain using short 1--D filters. Reciprocal experimental geometry is necessary for this method to work properly. In the data example above, data acquisition is nearly reciprocal and receiver locations can easily be interpolated onto source locations. No subsurface information such as velocity, density, or stiffness is necessary for performing the equalization. That makes this method a preferred preprocessing step. The disadvantages are the potentially low signal-to-noise ratio and the implicit averaging over source emergence angles. The estimated filters mainly show amplitude variations, component rotations and small modifications to the source-time function.

Thanks to Chevron Petroleum Technology Co. for the permission to use this dataset and the sponsors of Stanford Exploration Project for their support.