Noise taxonomy
Learning objectives
- Identify five canonical noise families: thermal, ambient ocean, ground roll, cultural, shipping/harmonic
- Recognise each family's time-domain signature and frequency-domain signature
- Predict which family will dominate at a given site (marine, land, urban, remote)
- Use the noise model to inform receiver choice and array design
“Noise” is a single word for a dozen different physical phenomena. Knowing which noise family dominates at your site is how you pick receivers, design arrays, and set expectations for the data.
The five families
- Thermal (white Gaussian) — noise from the sensor itself and its electronics. Flat spectrum, independent across traces. Fundamental floor.
- Ambient ocean (red/pink) — microseisms from wind and swell, dominant at 1–8 Hz. The main low-frequency enemy in marine surveys.
- Ground roll — Rayleigh-wave surface noise on land. Strong, low-frequency (4–15 Hz), slow (300–800 m/s), dispersive. Coherent across traces, which is how f-k filtering catches it.
- Cultural (impulsive) — traffic, hammering, nearby construction. Bursts rather than stationary; show up as random spikes in time and broad energy in frequency.
- Shipping (harmonic) — narrow lines at the propeller shaft frequency and overtones. Notable in marine; hit it with a narrow-band reject filter.
Why this shapes acquisition
A coiled-geophone array is useless against thermal noise (random per-sensor) but kills ground roll (coherent, wavelength < array length). Dual-sensor streamers cancel sea-surface ghost noise. An OBN node on the sea floor dodges swell noise entirely — hence OBN’s celebrated low-frequency signal. Every receiver choice is a bet against a specific noise family; you have to know the zoo.
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.
- Pritchett, W. C. (1990). Acquiring Better Seismic Data. Chapman & Hall.