SNR & detectability

Physics prerequisites for acquisition

Learning objectives

  • Define signal-to-noise ratio (SNR) in dB for a single trace
  • Derive the √N stacking rule: coherent signal grows as N, random noise grows as √N
  • Convert a required post-stack SNR into a required fold for known per-trace SNR
  • Recognise the limits of stacking (coherent noise doesn’t attenuate)

A reflection event you cannot see on a single trace may become obvious after stacking tens of traces. That is the stacking miracle: it is the single most important noise-fighting tool in seismic.

The √N rule

Suppose every trace has the same reflection (signal) and uncorrelated Gaussian noise. Stacking N traces (averaging them) gives:

signalpowerstack=signalpower(coherent; unchanged after averaging)\mathrm{signal\,power}_{\mathrm{stack}} = \mathrm{signal\,power}\quad\text{(coherent; unchanged after averaging)}
noisepowerstack=noisepowerN\mathrm{noise\,power}_{\mathrm{stack}} = \frac{\mathrm{noise\,power}}{N}

So the SNR improves by a factor of N in power, which is √N in amplitude, which is 10·log₁₀(N) dB. Stack 16 traces, gain 12 dB. Stack 100, gain 20 dB.

Snr StackInteractive figure — enable JavaScript to interact.

When stacking stops working

The √N gain assumes noise is uncorrelated trace-to-trace. Ground roll is coherent — it stacks just like signal does. Multiples are coherent — same problem. Residual statics (uncorrected time shifts) misalign the signal before summing, destroying coherence and eating into signal. This is why f-k filters, demultiple, and statics corrections exist: they clean up the traces so that stacking sees only uncorrelated residual noise, making the √N rule hold again.

References

  • Sheriff, R. E., Geldart, L. P. (1995). Exploration Seismology (2nd ed.). Cambridge University Press.
  • Yilmaz, Ö. (2001). Seismic Data Analysis: Processing, Inversion, and Interpretation of Seismic Data (2 vols.). SEG Investigations in Geophysics 10.
  • Mayne, W. H. (1962). Common reflection point horizontal data stacking techniques. Geophysics, 27(6), 927–938.
  • Krey, T. (1987). Attenuation of random noise by 2-D and 3-D CDP stacking and Kirchhoff migration. Geophysical Prospecting, 35(2), 135–147.

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