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Time frequency domain combined deconvolution method

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the process of seismic wave propagation, high-frequency energy is absorbed and attenuated by the stratum, and the dominant frequency and resolution decrease. To recover the energy of the high-frequency attenuation of seismic waves, a high-resolution processing method of time-frequency domain combined deconvolution (TFCD) is proposed. This method is different from the traditional time-frequency domain deconvolution because it considers the theory that the wavelet amplitude spectrum is smooth and has a low frequency. Wavelet separation is first conducted in the secondary spectral domain of seismic records and then smoothed in the log-domain to extract the time-frequency domain wavelet, which improves the accuracy of time-frequency domain deconvolution. This method comprehensively considers the wavelet shape and frequency characteristics, and can effectively improve seismic data resolution.
Czasopismo
Rocznik
Strony
727--741
Opis fizyczny
Bibliogr. 18 poz.
Twórcy
autor
  • College of Geophysics, Chengdu University of Technology, Chengdu 610059, Sichuan, China
autor
  • State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Key Lab of Earth Exploration and Information Techniques of Ministry of Education, College of Geophysics, Chengdu University of Technology, Chengdu 610059, Sichuan, China
autor
  • BGP Southwest Geophysical Branch CNPC, Chengdu 610213, Sichuan, China
autor
  • College of Geophysics, Chengdu University of Technology, Chengdu 610059, Sichuan, China
autor
  • College of Geophysics, Chengdu University of Technology, Chengdu 610059, Sichuan, China
Bibliografia
  • 1. Alaei N, Roshandel Kahoo A, Kamkar Rouhani A, Soleimani M (2018) Seismic resolution enhancement using scale transform in the timefrequency domain. Geophysics 83(6):V305-V314. https://doi.org/ 10.1190/geo2017-0248.1
  • 2. Chen S, Li X-Y, Di B, Wei J (2014) A novel method for enhancing resolution using scale transforms: paper read at 76th conference and exhibition, EAGE, Expanded Abstracts.
  • 3. Chen S-Q, Wang Y-H (2018) Seismic resolution enhancement by frequency dependent wavelet scaling. IEEE Geosci Remote Sens Lett 15(5):654-658
  • 4. Clarke GKC (1968) Time-varying deconvolution filters. Geophysics 33:936-944
  • 5. Gabor D (1946) Theory of communication. J IEEE 93(26):429-441
  • 6. Gholami A (2015) Semi-blind nonstationary deconvolution: joint reflectivity and Q estimation. J Appl Geophys 117:32-41
  • 7. Gholami A (2016) Projected Gabor deconvolution. Geophysics 2:V151-V157
  • 8. Hu Y, Chen H, Lu L, Zhang H, Marfurt KJ (2020) An adaptive noise-free method of seismic resolution enhancement based on extrapolated multiresolution singular value decomposition. IEEE Trans Geosci Remote Sens 58(7):4958-4966. https://doi.org/10. 1109/tgrs.2020.2970732.
  • 9. Margrave GF, Lamoureux MP, Henley DC (2011) Gabor deconvolution: estimating reflectivity by nonstationary deconvolution of seismic data. Geophysics 76(3):w15-w30
  • 10. Morlet J, Arens G, Fourgeau E et al (1982) Wave propagation and sampling theory-Part I: Complex signal and scattering in multilayered media. Geophysics 47(2):203-221
  • 11. Robinson EA, Treitel S (1967) Principles of digital Wiener filtering. Geophys Prospect 15(3):311-332
  • 12. Rosa ALR, Ulrych TJ (1991) Processing via spectral modeling. Geophysics 56(6):1244-1251
  • 13. Stockwell RG, Mansinha L, Lowe RP (1996) Localization of the complex spectrum: the S transform. IEEE Trans Signal Process 44(4):998-1001
  • 14. Sun CY (2000) Spectrum modeling method and its application to seismic resolution improvement. Oil Geophys Prospect 35(12):27
  • 15. Wang Y (2006) Inverse Q-filter for seismic resolution enhancement. Geophysics 71(3):V51-V60. https://doi.org/10.1190/1.2192912
  • 16. 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
  • 17. Zhou H-L, Tian Y-M, Ye Y et al (2014) Dynamic deconvolution of seismic data based on generalized S-transform. J Appl Geophys 10(8):1-11
  • 18. Zhou H-L, Wang C-C, Marfurt KJ, Jiang Y-W, Bi J-X (2016) Enhancing the resolution of non-stationary seismic data using improved time-frequency spectral modelling. Geophys J Int 205(1):203-219. https://doi.org/10.1093/gji/ggv553
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-57858a03-c6dc-4fa6-af59-19effe7b4247
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