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Abstract

Summary

Spectral decomposition, or time-frequency analysis, is an advanced seismic attribute analysis technique that decomposes seismic data into its frequency components, providing different insights into subsurface geology. This study examines the principles, methodologies, and applications of spectral decomposition, including methods such as Short-Time Fourier Transform (STFT), Continuous Wavelet Transform (CWT), and high-resolution techniques like Basis Pursuit (BP) and Empirical Mode Decomposition (EMD), to address varying resolution requirements in seismic data analysis. Emphasis is placed on detecting hydrocarbon reservoirs using amplitude variation with frequency (AVF) analysis and seismic attenuation phenomena, delineating thin beds, and enhancing seismic visualization. The AVF analysis emerges as a simple and handy tool for identifying hydrocarbon presence through frequency-dependent attenuation, even in the absence of pre-stack seismic data, with attenuation phenomena linked to lithology and fluid interactions offering valuable insights for reducing exploration risks. Through case studies, the spectral decomposition with AVF analysis is demonstrated, showcasing its effectiveness in delineating subsurface features, mitigating interpretation pitfalls, and accurately detecting hydrocarbons. This work highlights the transformative role of spectral decomposition in seismic interpretation, blending diverse perspectives, analytical precision, and innovative visualization methods to advance geological exploration.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.202571004
2025-04-29
2026-02-10

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References

  1. Mandong, A.F., Bekti, R.P.A. and Saputra, R.L.A. [2021]. Amplitude Variation with Frequency as Direct Hydrocarbon Indicator for Quick Look and Different Insight of Hydrocarbon Delineation, Journal Geofisika, 19(2), 62–68.
     [Google Scholar]
  2. Batzle, M., Han, D., and Castagna, J. P., 1996, Attenuation and velocity dispersion at seismic frequencies: presented at 66th Annual Meeting of the Society of Exploration Geophysicists, Denver.
     [Google Scholar]
  3. Herrera, R.H., Han, J., Mirko, van der B., 2014. Applications of the synchrosqueezing transform in seismic time-frequency analysis. Geophysics79, V55–V64.
     [Google Scholar]
  4. Mayall, M.J., Yeilding, C.A., Oldroyd, J.D., Pulham, A.J. & Sakurai, S.1992. Facies in a shelf-edge delta; an example from the subsurface of the Gulf of Mexico, middle Pliocene, Mississippi Canyon, Block 109. AAPG Bulletin, 76, 435–448.
     [Google Scholar]
  5. Latimer, R.B., and van Riel, P. (1996) Integrated seismic reservoir characterization and modeling: a Gulf of Mexico 3D case history. GCSSEPM 1996 Research Conference.
     [Google Scholar]
  6. Mulyani, R., Widiatmo, R., Gunawan, H., Nugroho., Hairunnisa., Mandong, A., and Saputra, R. (2018): New Approach: Using Relative Inversion with Spectral Decomposition to Distinguish Thin Layers in The 33-Series Sand Reservoirs of The Widuri Field, Southeast Sumatra, Indonesia. Proceedings of The 42nd of Indonesian Petroleum Association (IPA) Annual Convention and Exhibition.
     [Google Scholar]
  7. Sinha, S.K., P.S.Routh, P.D.Anno, C.Phillips and J.P.Castagna, 2005. Spectral decomposition of seismic data with continuous-wavelet transform. Geophysics, 70: 19–25. DOI: 10.1190/1.21271.3.
     https://doi.org/10.1190/1.21271.3 [Google Scholar]
  8. Sun, S., J. P.Castagna, and R. W.Seigfried, 2002, Examples of wavelet transform time-frequency analysis in direct hydrocarbon detection: 72nd Annual International Meeting, SEG, ExpandedAbstracts, 457–460.
     [Google Scholar]
/content/papers/10.3997/2214-4609.202571004
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Advancing Seismic Interpretation through Spectral Decomposition: Techniques, Applications, and Innovative Visualization
Conference Proceedings 2025, 1 (2025); https://doi.org/10.3997/2214-4609.202571004
/content/papers/10.3997/2214-4609.202571004
/content/papers/10.3997/2214-4609.202571004
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