Almost all current time or depth seismic studies need to go through a correction process to recover energy lost by absorption phenomenon. The so-called Q factor is responsible for dissipation of high-frequency seismic energy, which decreases seismic amplitudes and causes velocity dispersion. For general background Q, a post-migration inverse Q filtering ( ), using smooth or even constant Q, may be sufficient for data with gentle geology. In areas with more absorptive heterogeneities such as unconsolidated materialor gas, theneed for a morecomplex Q model is necessary for an accurate correction. have been pioneers for addressing this problem, adapting Q-Tomography from fundamental to applied seismology. Over the last decade, it has resulted in an industrial solution ( ) using VSP or surface seismic data.


Article metrics loading...

Loading full text...

Full text loading...


  1. BrzostowskiM. A., and McMechan, G. A.
    [1992]. 3D tomographic imaging of near-surface seismic velocity and attenuation: Geophysics, 57, 396.
    [Google Scholar]
  2. Cavalca, M., and Fletcher, R.P.
    , [2009]. Estimation of the near-surface Q distribution from pre-stack surface seismic data. SEG/EAGE Research Workshop, Expanded Abstracts.
    [Google Scholar]
  3. Cavalca, M., Moore, I., Zhang, L., Ng, L., Fletcher, R.P. and Bayly, M.P.
    [2011]. Ray-based tomography for Q estimation and Q compensation in complex media. 73rd EAGE Conference & Exhibition, Extended Abstracts.
    [Google Scholar]
  4. Gamar-Sadat, F., Guillaume, P., Pica, A., Pignot, G., Poggi, P., Henry-Baudot, A., Prescott, A., Gacha, A., Carotti, D., and Prieux, V.
    , [2015]. Automatic gas pockets detection by high-resolution volumetric Q-tomography using accurate frequency peak estimation: 77th Conference and Exhibition, EAGE, Extended Abstracts.
    [Google Scholar]
  5. Hung, B., Xin, K.F, Birdus, S., and Sun, J.
    , [2008]. 3D tomographic amplitude inversion for compensating transmission losses in the overburden. 70th EAGE Conference & Exhibition, Extended Abstracts.
    [Google Scholar]
  6. Pereira, K., Belhassen, Y., Tomaz, E., Domont, S., and Carotti, D.
    [2018]. Imaging challenges and processing solutions in the Brazilian Equatorial Margin: A case study in the Barreirinhas Basin. The Leading Edge, 283–290.
    [Google Scholar]
  7. Plessix, R.E., Stopin, A., Kuehl, H., Goh, V., and Overgaag, K.
    , [2016]. Visco-acoustic Full Waveform Inversion. 78th EAGE Conference & Exhibition.
    [Google Scholar]
  8. Stopin, A., Plessix, R.E., Kuehl, H., Goh, V., and Overgaag, K.
    , [2016]. Application of Visco-acoustic Full Waveform Inversion for Gas Cloud Imaging and Velocity Model Building. 78th EAGE Conference & Exhibition, Extended Abstracts.
    [Google Scholar]
  9. Valenciano, A., and Chemingui, N.
    , [2013]. Tomographic Q Estimation for Viscoacoustic Imaging. 75th EAGE, Extended Abstracts.
    [Google Scholar]
  10. Wang, Y. H.
    , [2002]. A stable and efficient approach of inverse Q filtering: Geophysics, 67, 657–663.
    [Google Scholar]
  11. Xie, Y., Wang, M., Xiao, B., Ratcliffe, A., Latter, T.
    , [2018]. Recent advances in Q model building and Q-compensating migration for imaging in the presence of complex gas clouds using P waves. 80th EAGE Conference & Exhibition Extended Abstracts, WS07.
    [Google Scholar]
  12. Xin, K., Xie, Y., and He, Y.
    [2014]. Adaptive centroid frequency shift Q-tomography: Presented at the 76th Annual International Conference and Exhibition, EAGE.
    [Google Scholar]
  13. Zhang, C., Ulrych, T.J.
    [2002]. Estimation of quality factors from CMP records. Geophysics, 67(5), 1542–1547.
    [Google Scholar]

Data & Media loading...

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