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Czasopismo
2019 | Vol. 67, no. 2 | 577--587
Tytuł artykułu

The influence of the frequency‑dependent spherical‑wave effect on the near‑surface attenuation estimation

Wybrane pełne teksty z tego czasopisma
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The knowledge of Q is desirable for improving seismic resolution, facilitating amplitude analysis and seismic interpretation. The most commonly used methods for Q estimation are the frequency-spectrum-based methods. Generally, these methods are based on the plane wave theory assuming that the transmission/reflection loss is frequency independent. This assumption is reasonable in the far-field situation and makes the transmission/reflection coefficient irrelevant with the Q estimation result. However, in the near-surface context, this assumption is invalid because the seismic wave propagates in the form of spherical wave in the real seismic surveys and the spherical-wave transmission/reflection coefficient is frequency dependent. As a result, deviation will exist. In this paper, the influence of the spherical-wave effect on the Q estimation in the near-surface context was proved in both synthetic data and field data for the first time, and it was found that the deviation due to the sphericalwave effect is of order comparable to the intrinsic attenuation. The compensation method based on the forward modeling is then proposed to correct this deviation, and the effectiveness of the proposed method is proved by the reasonable estimated results of both synthetic data and field data example. These results raise caution for the interpretation of the extracted Q in the near-surface context if they do not account for the spherical-wave effect and point to the necessity of incorporating a frequency-dependent term in the frequency-spectrum-based method when applied to the Q estimation in the near surface.
Wydawca

Czasopismo
Rocznik
Strony
577--587
Opis fizyczny
Bibliogr. 28 poz.
Twórcy
autor
  • State Key Laboratory of Petroleum Resources and Prospecting, CNPC Key Laboratory of Geophysical Exploration, China University of Petroleum (Beijing), Changping, Beijing, China, jiyz232@sina.com
  • Sinopec Geophysical Research Institute, Nanjing, China
  • State Key Laboratory of Petroleum Resources and Prospecting, CNPC Key Laboratory of Geophysical Exploration, China University of Petroleum (Beijing), Changping, Beijing, China, wangsx@cup.edu.cn
autor
  • State Key Laboratory of Petroleum Resources and Prospecting, CNPC Key Laboratory of Geophysical Exploration, China University of Petroleum (Beijing), Changping, Beijing, China, yuansy@cup.edu.cn
autor
  • State Key Laboratory of Petroleum Resources and Prospecting, CNPC Key Laboratory of Geophysical Exploration, China University of Petroleum (Beijing), Changping, Beijing, China, yanbp_cupb@163.com
Bibliografia
  • 1. Aki KT, Richards PG (1980) Quantitative seismology: theory and methods. W. H. Freeman, New York
  • 2. Alulaiw B, Gurevich B (2013) Analytic wavefront curvature correction to plane-wave reflection coefficient for a weak contrast interface. Geophys Prospect 61(1):53–63
  • 3. Beckwith J, Clark R, Hodgson L (2016) Estimating frequency-dependent attenuation quality factor values from prestack surface seismic data. Geophysics 82(1):O11–O22
  • 4. Bendeck CDC, Clark RA, Booth AD, Wills W (2017) Constant and frequency-dependent attenuation from vertical seismic profiles in fractured granite and thinly layered sediment. In: 79th EAGE conference and exhibition
  • 5. Dasgupta R, Clark RA (1998) Estimation of Q from surface seismic reflection data. Geophysics 63(6):2120–2128
  • 6. Gurevich B, Pevzner R (2015) How frequency dependency of Q affects spectral ratio estimates. Geophysics 80(2):A39–A44
  • 7. Haase AB, Stewart RR (2010) Near-field seismic effects in a homogeneous medium and their removal in vertical seismic profile attenuation estimates. Geophys Prospect 58:1023–1032
  • 8. Hao Y, Wen X, Zhang B, He Z, Zhang R, Zhang J (2016) Q estimation of seismic data using the generalized S-transform. J Appl Geophys 135:122–134
  • 9. Li F, Zhou H, Jiang N, Bi J, Marfurt KJ (2015) Q estimation from reflection seismic data for hydrocarbon detection using a modified frequency shift method. J Geophys Eng 12(4):577–586
  • 10. Li F, Zhou H, Zhao T, Marfurt KJ (2016a) Unconventional reservoir characterization based on spectrally corrected seismic attenuation estimation. J Seism Explor 25(5):447–461
  • 11. Li G, Sacchi MD, Zheng H (2016b) situ evidence for frequency dependence of near-surface Q. Geophys J Int 204(2):1308–1315
  • 12. Li JN, Wang SX, Dong CH, Yuan SY, Wang JB (2016c) Study on frequency-dependent characteristics of spherical-wave PP reflection coefficient. Chin J Geophys 59(10):3810–3819
  • 13. Li JN, Wang SX, Wang JB, Dong CH, Yuan SY (2017) Frequency-dependent spherical-wave reflection in acoustic media: analysis and inversion. Pure appl Geophys 174(4):1759–1778
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  • 17. Montano M, Lawton DC, Margrave G (2015) Near-surface Q estimation: an approach using the up-going wave-field in vertical seismic profile data. In: SEG technical program expanded abstracts, pp 5600–5604
  • 18. Quan Y, Harris JM (1997) Seismic attenuation tomography using the frequency shift method. Geophysics 62(3):895–905
  • 19. Robinson EA (1984) Seismic inversion and deconvolution. Geophysical Press, Marbella
  • 20. Sommerfeld A (1909) Über die Ausbreitung der Wellen in der drahtlosen Telegraphie. Ann Phys 333(4):665–736
  • 21. Tao YH, Wang SX, Li JN, Dong CH, Yuan SY, Chen G (2016) The effect of frequency-dependent reflection coefficient on seismic attenuation estimation. In: 78th EAGE conference and exhibition 2016
  • 22. Tonn R (1991) The determination of the seismic quality factor Q from VSP data: a comparison of different computational methods. Geophys Prospect 39(1):1–27
  • 23. Wehner D, Landrø M, Amundsen L, Westerdahl H (2018) Frequency-depth-dependent spherical reflection response from the sea surface—a transmission experiment. Geophys J Int 214(2):1206–1217
  • 24. Weyl H (1919) Ausbreitung elektromagnetischer Wellen ueber einem ebenen Leiter. Ann Phys 365(21):481–500
  • 25. Yuan SY, Wang SX, Ma M, Ji YZ, Deng L (2017) Sparse Bayesian learning-based time-variant deconvolution. IEEE Trans Geosci Remote Sens 55(11):6182–6194
  • 26. Yuan SY, Liu JW, Wang SX, Wang TY, Shi PD (2018) Seismic waveform classification and first-break picking using convolution neural networks. IEEE Geosci Remote Sens Lett 15(2):272–276
  • 27. Yuan SY, Liu Y, Zhang Z, Luo CM, Wang SX (2019) Prestack stochastic frequency-dependent velocity inversion with rock-physics constraints and statistical associated hydrocarbon attributes. IEEE Geosci Remote Sens Lett 16(1):140–144
  • 28. Zhang C, Ulrych TJ (2002) Estimation of quality factors from CMP records. Geophysics 67(5):1542–1547
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
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