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

Marine Geophysical Researches volume 20, pages 13–20 (1998)Cite this article

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.

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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

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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
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  2. J.M. Bull
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  3. J.K. Dix
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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

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

  • Chirp
  • processing
  • source-signature
  • high-resolution seismic