1887

Abstract

Summary

One of the big challenges facing operators in the on-shore Nile Delta is the discrimination between residual gas saturations and mobile commercial gas. The application of spectral decomposition and frequency attributes on pre-stack seismic data has opened the door to think about the relationship between frequency attenuation and reservoir properties. The main motivation of this study is the existence of a potential accumulation, with a very good seismic response, extremely comparable to that observed in a major producing field nearby. The results of a well drilled in this prospect were not encouraging and the well was classified as a dry well with gas shows (gas saturation in the tested reservoir reached 28%). We will see in this study how spectral decomposition can be used to discriminate between low gas saturations and mobile, commercial gas in the area of study.

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/content/papers/10.3997/2214-4609.201903158
2019-11-19
2020-01-28
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References

  1. Singelton, S.
    2009, The effects of seismic data conditioning on prestack simultaneous inversion. The Leading Edge 2009.
    [Google Scholar]
  2. Castagna, J. P., S.Sun, and R. W.Siegfried
    , 2003, Instantaneous spectral analysis: Detection of low-frequency shadows associated with hydrocarbons: The Leading Edge, 22, 120–127.
    [Google Scholar]
  3. Li, X., and D. H.Han
    , 2005, Detecting low saturation gas using frequency attenuation: Fluid/DHI Consortium.
    [Google Scholar]
  4. William F.Murphy
    , 1982, Effects of micro structure and pore fluids on the acoustic properties of granular sedimentary materials.
    [Google Scholar]
  5. Liu, J., Y.Wu, D.Han, and X.Li
    , 2004, Time-frequency decomposition based on Ricker wavelet: 74th Annual International Meeting, SEG, Expanded Abstracts, 1937–1940.
    [Google Scholar]
  6. O’Brien, J.
    , 2004, Seismic amplitude from low gas saturation sands: The Leading Edge, 23, 1236–1243.
    [Google Scholar]
  7. SpencerT. W., J. R.Sonnad, and M.Butler
    , 1982, Seismic Q – stratigraphy or dissipation: Geophysics, 47, 16–24.
    [Google Scholar]
  8. Tonn, R.
    , 1991, The determination of seismic quality factor Q from VSP data: A comparison of different computational methods: Geophysics, 49, 1–27.
    [Google Scholar]
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