1887

Abstract

Summary

In a pioneering paper of Nur (1989) that boosted the time-lapse seismic research, two rock parameters are spotted to detect fluid saturation changes and monitor hydrocarbon reservoirs by seismic waves: anelastic absorption and propagation velocity. The second one became a hot research topic in the following decades. In this paper, we explore the other way suggested by Nur, i.e., anelastic absorption, as a tool for time-lapse reservoir monitoring.

The diagnostic value of anelastic absorption for estimating fluid saturation is the higher, the wider is the frequency range of the seismic waves. Ideally, this range should start from the lowest frequencies of seismic surveys, i.e., a few Hz, and ideally reach the frequencies available in lab measurements of rock samples. Some advance has been achieved by Vesnaver et al. (2016), who introduced a new method for a broadband estimation of the Q factor and anelastic absorption. Its resolution is comparable to standard imaging for reflectivity and amplitude anomalies. In this paper, we test this method and validate the use of anelastic absorption for detecting time-lapse signals

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201700692
2017-06-12
2024-04-26
Loading full text...

Full text loading...

References

  1. Ackroyd, M. H.
    [1970] Instantaneous spectra and instantaneous frequency. Proceedings IEEE, 58, 141.
    [Google Scholar]
  2. Carcione, J. M.
    [2014] Wave Fields in Real Media. Theory and numerical simulation of wave propagation in anisotropic, anelastic, porous and electromagnetic data — (third edition). Elsevier, 690 pp.
    [Google Scholar]
  3. Nur, A.
    [1989] Four-dimensional seismology and (true) direct detection of hydrocarbons: the petrophysical basis. The Leading Edge, 8(9), 30–36, doi: 10.1190/1.1439661.
    https://doi.org/10.1190/1.1439661 [Google Scholar]
  4. Poggiagliolmi, E. and Vesnaver, A.
    [2014] Instantaneous phase and frequency derived without user-defined parameters. Geophysical Journal International, 199, 1544–1533, doi: 10.1093/gji/ggu352.
    https://doi.org/10.1093/gji/ggu352 [Google Scholar]
  5. Quan, Y. and Harris, J. M.
    [1997] Seismic attenuation tomography using the frequency shift method. Geophysics, 62, 895–905, doi: 10.1190/1.1444197.
    https://doi.org/10.1190/1.1444197 [Google Scholar]
  6. Rossi, G., Gei, D., Böhm, G., Madrussani, G. and Carcione, J. M.
    [2007] Attenuation tomography: an application to gas-hydrate and free-gas detection. Geophysical Prospecting, 55, 655–669, doi: 10.1111/j.1365‑2478.2007.00646.x.
    https://doi.org/10.1111/j.1365-2478.2007.00646.x [Google Scholar]
  7. Vesnaver, A. and Böhm, G.
    [2000] Staggered or adapted grids for seismic tomography?The Leading Edge, 19, 944–950. doi: 10.1190/1.1438762.
    https://doi.org/10.1190/1.1438762 [Google Scholar]
  8. Vesnaver, A., Lin, R. and Böhm, G
    . [2016] Merging macro- and micro-models for a broadband estimation of the Q factor. Expanded Abstracts, SEG Annual Meeting, 3613–3617, doi: 10.1190/segam2016‑13859201.1.
    https://doi.org/10.1190/segam2016-13859201.1 [Google Scholar]
  9. Vesnaver, A., Lin, R. and Böhm, G.
    [2017] Broadband Q factor estimation by seismic tomography and instantaneous frequency. Geophysical Prospecting(submitted).
    [Google Scholar]
  10. Vesnaver, A., Accaino, F., Böhm, G., Madrussani, G., Pajchel, J., Rossi, G. and Dal Moro, G.
    [2003] Time-lapse tomography. Geophysics, 68, 815–823, doi: 10.1190/1.1581034.
    https://doi.org/10.1190/1.1581034 [Google Scholar]
  11. Vesnaver, A.
    [2017] Instantaneous frequency and phase without unwrapping. Geophysics, 72, F1–F7, doi: 10.1190/geo2016‑0185.1.
    https://doi.org/10.1190/geo2016-0185.1 [Google Scholar]
  12. Ward, R. W. and Toksöz,M. N.
    [1971] Causes of regional variation of magnitude. Bulletin of the Seismological Society of America, 61, 649–670.
    [Google Scholar]
  13. Winkler, K. W.
    [1986] Estimates of velocity dispersion between seismic and ultrasonic frequencies. Geophysics, 51, 183–189, doi: 10.1190/1.1442031.
    https://doi.org/10.1190/1.1442031 [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201700692
Loading
/content/papers/10.3997/2214-4609.201700692
Loading

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