SNR & detectability
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:
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.
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.