Skip to main content
SpringerLink
Log in

Optimal Processing of Marine High-Resolution Seismic Reflection (Chirp) Data

  • Published:
Marine Geophysical Researches Aims and scope Submit manuscript

Abstract

Chirp frequency-modulated (FM) systems offer deterministic, repeatable source-signatures for high-resolution, normal incidence marine seismic reflection data acquisition. An optimal processing sequence for uncorrelated Chirp data is presented to demonstrate the applicability of some conventional seismic reflection algorithms to high-resolution data sets, and to emphasise the importance of a known source-signature. An improvement of greater than 60dB in the signal- to-noise ratio is realised from correlating the FM reflection data with the transmitted pulse. Interpretability of ringy deconvolved data is enhanced by the calculation of instantaneous amplitudes. The signal-to-noise ratio and lateral reflector continuity are both improved by the application of predictive filters whose effectiveness are aided by the repeatability of the Chirp source.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Advance Geophysical Corporation, 1995, ProMAXT M 6.0 User Manual.

  • Bull, J. M., Quinn, R., and Dix, J. K., 1998, Reflection coefficient calculation from marine high-resolution seismic reflection (Chirp) data and application to an archaeological case study: Marine Geophysical Researches 20, 1–11.

    Google Scholar 

  • Canales, 1984, Random noise reduction. Paper presented at the Society of Exploration Geophysicists 54th Annual Conference, Atlanta, GA.

  • Gulunay, N., 1986, FX-deconvolution and the complex Wiener prediction filter for random noise reduction. Paper presented at the Society of Exploration Geophysicists 56th Annual Conference, Houston, TX.

  • LeBlanc, L. R., Panda, S., and Schock, S. G., 1992a, Sonar attenuation modeling for classification of marine sediments, J. Acoust. Soc. Am. 91, 116–126.

    Google Scholar 

  • LeBlanc, L. R., Mayer, L., Rufino, M., Schock, S. G. and King, J., 1992b, Marine sediment classification using the chirp sonar: J. Acoust. Soc. Am. 91, 107–115.

    Google Scholar 

  • Panda, S., LeBlanc, L. R., and Schock, S. G., 1994, Sediment classification based on impedance and attenuation estimation, J. Acoust. Soc. Am. 95, 3022–3055.

    Google Scholar 

  • Schock, S. G., LeBlanc, L. R. and Mayer, L. A., 1989, Chirp subbottom profiler for quantitative sediment analysis, Geophysics 54, 445–450.

    Google Scholar 

  • West, I. M. (1980) Geology of the Solent Estuarine System, In: The Solent Estuarine System: An assessment of present knowledge, NERC Pub. Series C 22, 6–17.

    Google Scholar 

  • Yilmaz, O., 1987, Seismic Data Processing. Society of Exploration Geophysicists, Tulsa, OK.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Departments of Geology and 2Oceanography, Southampton Oceanography Centre, University of Southampton, Southampton, SO 14 3ZH, U.K.

    R. Quinn & J.M. Bull

Authors
  1. R. Quinn
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. J.M. Bull
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. J.K. Dix
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Quinn, R., Bull, J. & Dix, J. Optimal Processing of Marine High-Resolution Seismic Reflection (Chirp) Data. Marine Geophysical Researches 20, 13–20 (1998). https://doi.org/10.1023/A:1004349805280

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1004349805280

Search

Navigation