1887
Volume 68, Issue 8
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

In comparison to high‐frequency signals, low‐frequency seismic signals suffer less from scattering and intrinsic attenuation during wave propagation, penetrate deeper strata and thus can provide more energy information related to the hydrocarbon reservoirs. Based on the asymptotic representation for the frequency‐dependent reflections in the fluid‐saturated pore‐elastic media, we first derive a novel equation of the reservoir energy density and present an efficient workflow to calculate the reservoir energy density using low‐frequency seismic data. Then, within a low‐frequency range (from 1 to 30 Hz), we construct an objective function to determine the optimal frequency, using the energy densities calculated from the post‐stack seismic traces close to the wells. Next, we can calculate the reservoir energy density using the instantaneous spectra of optimal frequency at the low‐frequency end of the seismic spectrum. Tests on examples for synthetic and field data demonstrate that the proposed reservoir energy density can produce high‐quality images for the fluid‐saturated reservoirs, and it produces less background artefacts caused by elastic layers. This method provides a new way to detect the location of hydrocarbon reservoirs and characterize their spatial distribution.

Loading

Article metrics loading...

/content/journals/10.1111/1365-2478.13005
2020-07-29
2024-04-19
Loading full text...

Full text loading...

References

  1. Ahmad, S.S., Brown, R.J., Escalona, A. and Rosland, B.O. (2017) Frequency‐dependent velocity analysis and offset‐dependent low‐frequency amplitude anomalies from hydrocarbon‐bearing reservoirs in the southern North Sea, Norwegian sector. Geophysics, 82(6), N51–N60.
    [Google Scholar]
  2. Ahmad, S.S., Weibull, W.W., Brown, R.J. and Escalona, A. (2019) Observations and suggested mechanisms for generation of low‐frequency seismic anomalies: examples from the Johan Sverdrup field, central North Sea Norwegian sector. Geophysics, 84(1), B1–B14.
    [Google Scholar]
  3. Batzle, M.L., Han, D.H. and Hofmann, R. (2006) Fluid mobility and frequency‐dependent seismic velocity‐direct measurements. Geophysics, 71(1), N1–N9.
    [Google Scholar]
  4. Castagna, J.P., Sun, S. and Siegfried, R.W. (2003) Instantaneous spectral analysis: detection of low‐frequency shadows associated with hydrocarbons. The Leading Edge, 22, 120–127.
    [Google Scholar]
  5. Chabyshova, E. and Goloshubin, G. (2014) Seismic modeling of low‐frequency “shadows” beneath gas reservoirs. Geophysics, 79(6), D417–D423.
    [Google Scholar]
  6. Chapman, M. (2009) Modeling the effect of multiple sets of mesoscale fractures in porous rock on frequency‐dependent anisotropy. Geophysics, 74(6), D97–D103.
    [Google Scholar]
  7. Chapman, M., Liu, E. and Li, X.Y. (2006) The influence of fluid sensitive dispersion and attenuation on AVO analysis. Geophysical Journal International, 167, 89–105.
    [Google Scholar]
  8. Chapman, M., Maultzsch, S., Liu, E. and Li, X.Y. (2003) The effect of fluid saturation in an anisotropic multi‐scale equant porosity model. Journal of Applied Geophysics, 54, 191–202.
    [Google Scholar]
  9. Chapman, M., Zatsepin, S.V. and Crampin, S. (2002) Derivation of a microstructural poroelastic model. Geophysical Journal International, 151, 427–451.
    [Google Scholar]
  10. Chen, X.H., He, Z.H., Huang, D.J. and Wen, X.T. (2009) Low frequency shadow detection of gas reservoirs in time‐frequency domain. Chinese Journal of Geophysics, 52, 215–221 (in Chinese).
    [Google Scholar]
  11. Chen, X.H., He, Z.H., Pei, X.G., Zhong, W.L. and Yang, W. (2013) Numerical simulation of frequency‐dependent seismic response and gas reservoir delineation in turbidites: a case study from China. Journal of Applied Geophysics, 94, 22–30.
    [Google Scholar]
  12. Chen, X.H., He, Z.H., Zhu, S.X., Liu, W. and Zhong, W.L. (2012) Seismic low‐frequency‐based calculation of reservoir fluid mobility and its applications. Applied Geophysics, 9, 326–332.
    [Google Scholar]
  13. Chen, X.H., Qi, Y.K., He, X.L., He, Z.H. and Chen, H. (2016) Phase‐shifted based numerical method for modeling frequency‐dependent effects on seismic reflections. Pure and Applied Geophysics, 173, 2899–2912.
    [Google Scholar]
  14. de Paula, O.B., Pervukhina, M., Makarynska, D. and Gurevich, B. (2012) Modeling squirt dispersion and attenuation in fluid‐saturated rocks using pressure dependency of dry ultrasonic velocities. Geophysics, 77(3), WA157–WA168.
    [Google Scholar]
  15. Ebrom, D. (2004) The low‐frequency gas shadow on seismic sections. The Leading Edge, 23, 772.
    [Google Scholar]
  16. Goloshubin, G.M. and Korneev, V.A. (2000) Seismic low‐frequency effects from fluid‐saturated reservoir. In: 70th SEG Annual Meeting, Calgary, Canada, Expanded Abstracts, pp. 1671–1674.
  17. Goloshubin, G.M., Korneev, V.A. and Vingalov, V.M. (2002) Seismic low‐frequency effects from oil‐saturated reservoir zones. In: 72nd SEG Annual Meeting, Salt Lake City, UT, USA, Expanded Abstracts, pp. 1813–1816.
  18. Goloshubin, G.M., Van Schuyver, C., Korneev, V.A., Silin, D.B. and Vingalov, V. (2006) Reservoir imaging using low frequencies of seismic reflections. The Leading Edge, 25, 527–531.
    [Google Scholar]
  19. Goloshubin, G., Silin, D., Vingalov, V., Takkand, G. and Latfullin, M. (2008) Reservoir permeability from seismic attribute analysis. The Leading Edge,27(3), 376–381.
    [Google Scholar]
  20. Gurevich, B., Makarynska, D., de Paula, O.B. and Pervukhina, M. (2010) A simple model for squirt‐flow dispersion and attenuation in fluid‐saturated granular rocks. Geophysics, 75(6), N109–N120.
    [Google Scholar]
  21. He, Z.H., and Xiong, X.J. and Bian, L.E. (2008) Numerical simulation of seismic low‐frequency shadows and its application. Applied Geophysics, 5, 301–306.
    [Google Scholar]
  22. Jun, H., Shin, J. and Shin, C. (2018) Application of full waveform inversion algorithms to seismic data lacking low‐frequency information from a simple starting model. Exploration Geophysics, 49, 434–449.
    [Google Scholar]
  23. Korneev, V.A., Goloshubin, G.M., Daley, T.M. and Silin, D.B. (2004) Seismic low frequency effects in monitoring fluid‐saturated reservoirs. Geophysics, 69, 522–532.
    [Google Scholar]
  24. Pride, S.R., Berryman, J.G. and Harris, J.M. (2004) Seismic attenuation due to wave‐induced flow. Journal of Geophysical Research, 109, B01201.
    [Google Scholar]
  25. Quintal, B. (2012) Frequency‐dependent attenuation as a potential indicator of oil saturation. Journal of Applied Geophysics, 82, 119–228.
    [Google Scholar]
  26. Quintal, B., Schmalholz, S.M. and Podladchikov, Y.Y. (2009) Low‐frequency reflections from a thin layer with high attenuation caused by interlayer flow. Geophysics, 74(1), N15–N23.
    [Google Scholar]
  27. Quintal, B., Schmalholz, S.M., Podladchikov, Y.Y. and Carcione, J.M. (2007) Seismic low‐frequency anomalies in multiple reflections from thinly‐layered poroelastic reservoirs. In: 77th SEG Annual Meeting, San Antonio, TX, USA, Expanded Abstracts, pp. 1690–1695.
  28. Sheriff, R.E. and Geldart, L.P. (1995) Exploration Seismology. Cambridge University Press.
    [Google Scholar]
  29. Silin, D.B., Korneev, V.A., Goloshubin, G.M. and Patzek, T.W. (2004) A hydrologic view on Biot's theory of poroelasticity. Lawrence Berkeley National Laboratory, Technical Report.
    [Google Scholar]
  30. Silin, D.B., Korneev, V.A., Goloshubin, G.M. and Patzek, T.W. (2006) Low‐frequency asymptotic analysis of seismic reflection from a fluid‐saturated medium. Transport In Porous Media, 62, 283–305.
    [Google Scholar]
  31. Silin, D. and Goloshubin, G. (2010) An asymptotic model of seismic reflection from a permeable layer. Transport In Porous Media, 83, 233–256.
    [Google Scholar]
  32. Taner, M.T., Koehler, F. and Sheriff, R. (1979) Complex seismic trace analysis. Geophysics, 44, 1041–1063.
    [Google Scholar]
  33. Ten Kroode, F., Bergler, S., Corsten, C., de Maag, J.W., Strijbos, F. and Tijhof, H. (2013) Broadband seismic data—The importance of low frequencies. Geophysics, 78(2), WA3–WA14.
    [Google Scholar]
  34. Wang, Y., Ramirez, A.C. and Osen, A. (2017) A low‐frequency deghosting method: Analysis and numerical tests, Geophysics, 82(5), V285–V296.
    [Google Scholar]
  35. Wilson, A., Chapman, M. and Li, X.Y. (2009) Frequency‐dependent AVO inversion. In; 79th SEG Annual Meeting, Houston, TX, USA, Expanded Abstracts, pp. 341–345.
  36. Wu, X.Y., Chapman, M. and Li, X.Y. (2012) Frequency‐dependent AVO attribute: Theory and example. First Break, 30, 67–72.
    [Google Scholar]
  37. Wu, X.Y., Chapman, M., Wilson, A. and Li, X.Y. (2010) Estimating seismic dispersion from pre‐stack data using frequency‐dependent AVO analysis inversion. 80th SEG Annual Meeting, Denver, CO, USA, Expanded Abstracts, 425–429.
  38. Xue, Y.J., Cao, J.X., Zhang, G.L., Cheng, G.H. and Chen, H. (2018) Application of synchrosqueezed wavelet transforms to estimate the reservoir fluid mobility. Geophysical Prospecting, 66, 1358–1371.
    [Google Scholar]
  39. Yang, J.D. and Zhu, H.J. (2018) Low‐frequency compensation and its application in full waveform inversion. In: 88th SEG Annual Meeting, Anaheim, CA, USA, Expanded Abstracts, pp. 1304–1307.
  40. Yuan, S.Y., Liu, Y., Zhang, Z., Luo, C.M. and Wang, S.X. (2018) Prestack stochastic frequency‐dependent velocity inversion with rock‐physics constraints and statistical associated hydrocarbon attributes. IEEE Transactions on Geoscience and Remote Sensing Letters, 16(1), 140–144.
    [Google Scholar]
  41. Yuan, S.Y., Wang, S.X., Luo, Y.N., Wei, W.W. and Wang, G.C. (2019) Impedance inversion by using the low‐frequency full‐waveform inversion result as an a priori model. Geophysics, 84(2), R149–R164.
    [Google Scholar]
  42. Zhang, G.L. (2011) Low‐frequency absorption attenuation gradient detection based on improved generalized S transform. Chinese Journal of Geophysics, 54, 2407–2411. (in Chinese)
    [Google Scholar]
  43. Zhang, J.H., Zhang, B.B., Zhang, Z.J., Liang, H.X. and Ge, D.M. (2015) Low‐frequency data analysis and expansion. Applied Geophysics, 12, 212–220.
    [Google Scholar]
  44. Zhong, W.L., Chen, X.H., Luo, X., Jiang, W. and Yang, W. (2017) Amplitude non‐sensitive stratal dispersion shadow for dim spot reservoir delineation. Acta Geologica Sinica (English Edition), 91, 1513–1514.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.1111/1365-2478.13005
Loading
/content/journals/10.1111/1365-2478.13005
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): Low frequency; Reservoir characterization; Spectral analysis

Most Cited This Month Most Cited RSS feed

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