Friday, 6 February 2015

Comparison of Spectral Enhancement Techniques Applied to Post Stack Data

by Nick McArdle (ffA), Gaynor Paton (ffA)

Spectral enhancement is a technique for selectively boosting portions of the seismic signal with distinguishable frequency content. It is often applied to seismic data in order to boost the high frequency content of the data, which can be masked by underlying low frequency signal. The practical application is to improve the vertical resolution of events thereby improving interpretability.  Here we compare three different methods of spectral enhancement that are regularly applied to 3D post stack seismic data. We are particularly interested in the effectiveness of each technique in enhancing real signal in the data, as well as the efficiency of each process at this task. 


  1. A very interesting approach for spectral enhancement using derivatives is presented by: "Sajid, M. and Ghosh, D., 2014, A fast and simple method of spectral enhancement, Geophysics, 79(3), P. V75–V80." Check it out!

    1. Hi Bruno, Thanks for pointing out that paper, their technique manages to effectively compensate for the "reddening" of the spectrum when the derivative method is applied. I assume that the degree of enhancement can be controlled by the number of derivatives used, so I wonder where the optimal level is. What happens if you push it beyond the sixth order? I think I will try it out and see what it looks like.

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