1887
ASEG2012 - 22nd Geophysical Conference
  • ISSN: 2202-0586
  • E-ISSN:

Abstract

Summary

Some ocean bottom seismic records from Western Australia show very low frequency noise amplitudes that are larger than peak-to-peak amplitudes of seismic reflections on hydrophone records. The noise period is longer than a 5000 ms record length. As a result, it is hard to suppress this noise using traditional seismic processing filters without generating large truncation edge effects.

Spectra from 100 trace windows were computed using a Burg multiple segment algorithm. Low frequency peaks near 0.12 Hz dominate the spectra from either hydrophone or vertical accelerometer sensors with or without air gun array shots. The low frequency peaks correspond with wavelength peaks near 500 m. Therefore, the apparent speed of propagation of this low frequency noise is about 60 m/s. This is close to the speed of gravity water waves for the OBC sensor depths.

Since this marine seismic noise is at a very low frequency and not generated by the seismic source, a best practice would be additional, analogue, low cut, filtering in the field to suppress its effects on seismic records and processing. Alternatively, digital recursive filters can be designed to be applied with initial condition constraints derived for each seismic trace. The very low frequency noise can then be suppressed in the computer without truncation edge effects.

Loading

Article metrics loading...

/content/journals/10.1071/ASEG2012ab269
2012-12-01
2026-01-19
Loading full text...

Full text loading...

References

  1. Burg, J. P., 1975, Maximum entropy spectral analysis, Ph.D. dissertation, Stanford University, Stanford, CA. (University Microfilms No. 75 25, 499)
/content/journals/10.1071/ASEG2012ab269
Loading
  • Article Type: Research Article
Keyword(s): acquisition; filtering; noise; OBC; processing
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error