Seismic attenuation is an important parameter to understand and parameterise, with implications for survey design, processing, interpretation, and inversion. Here we present a brief summary of the physical theory underpinning our understanding of attenuation and illustrate how this can be used to compensate for the loss of energy within a data processing workflow, preserving vertical resolution down-trace. Furthermore, we discuss the potential uses of attenuation as a parameter for characterising the nature of the subsurface, suggesting that attenuation should be perceived in a more positive light and seen as another parameter (alongside amplitude, phase, and move-out) that provides valuable quantitative information.


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  1. Aki, K., and Richards, P.G.
    , 2002. Quantitative Seismology. University Science Books.
    [Google Scholar]
  2. Clare, M.A., Vardy, M.E., Cartigny, M.J.B., Talling, P.J., Himsworth, M.D., Dix, J.K., Harris, J.M., Whitehouse, R.J.S., and M.Belal
    , 2017. Direct monitoring of active geohazards: emerging geophysical tools for deep-water assessments. Near Surface Geophysics, 15, 427–444.
    [Google Scholar]
  3. Duarte, H., Wardell, N., and O.Monrigal
    , 2017. Advanced processing for UHR3D shallow marine seismic surveys. Near Surface Geophysics, 15, 347–358.
    [Google Scholar]
  4. EvansT.
    , 2011. A systematic approach to offshore engineering for multiple-project developments in geohazardous areas. In: Frontiers in Offshore GeotechnicsII (ed D.White), pp. 3–32. CRC Press.
    [Google Scholar]
  5. LeiX. and MorganE.C.
    2015. Characterization of gas-charged sediments from joint inversion of Qp and Qs. Proceedings of the SEG Annual Meeting, 2765–2770.
    [Google Scholar]
  6. McCann, C., and McCann, D.M.
    , 1969. The attenuation of compressional waves in marine sediments. Geophysics, 34, 882–892.
    [Google Scholar]
  7. Morgan, E.C., Vanneste, M., Lecomte, I., Baise, L.G., Longva, O., and B.McAdoo
    , 2012. Estimation of free gas saturation from seismic reflection surveys by the genetic algorithm inversion of a P-wave attenuation model. Geophysics, 77(4), R175–R187.
    [Google Scholar]
  8. PinsonL., HenstockT., DixJ. and BullJ.
    2008. Estimating quality factor and mean grain size of sediments from high-resolution marine seismic data. Geophysics, 73(4), G19–G28.
    [Google Scholar]
  9. ProvenzanoG., VardyM.E. and HenstockT.J.
    2017. Pre-stack full waveform inversion of ultra-high-frequency marine seismic reflection data. Geophysical Journal International, 209, 1593–1611.
    [Google Scholar]
  10. Reine, C., Clark, R., and van der Baan, M.
    , 2012. Robust prestack Q-determination using surface seismic data: Part 2 – 3D case study. Geophysics, 77, B1–B10.
    [Google Scholar]
  11. Robertson, P.K.
    , 1990. Soil classification using the cone penetration test. Can. Geotech. J., 27, 151–158.
    [Google Scholar]
  12. Vardy, M.E.
    , 2015. Deriving shallow-water sediment properties using post-stack acoustic impedance inversion. Near Surface Geophysics, 13, 143–154.
    [Google Scholar]
  13. VardyM., L’HeureuxJ.-S., VannesteM., LongvaO., SteinerA., ForsbergC.
    , 2012. Multidisciplinary investigation of a shallow near-shore landslide, Finneidfjord, Norway. Near Surface Geophysics, 10, 267–277.
    [Google Scholar]
  14. Vardy, M.E., Vanneste, M., Henstock, T.J., Clare, M.A., Forsberg, C.F., and G.Provenzano
    , 2017. State-of-the-art remote characterization of shallow marine sediments: the road to a fully integrated solution. Near Surface Geophysics, 15, 387–402.
    [Google Scholar]
  15. Wang, Y.
    , 2002. A stable and efficient approach to inverse Q filtering. Geophysics, 67, 657–663.
    [Google Scholar]

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