The industry’s most advanced, highest resolution spectral decomposition algorithms

General Details


Changes in bed thickness, pore-fluid content and stratigraphic character below the nominal resolution of seismic data can be manifested in subtle changes in the frequency content of the seismic signal. On your desktop, Lumina SpecDecomp™ allows interpreters to reveal stratigraphic and structural details using four leading spectral decomposition methods, including the industry’s most advanced commercially available methods.


  • Offers four leading techniques tailored to your interpretation needs: Particle Swarm Spectral Decomposition, Constrained Least-Squares Spectral Analysis (CLSSA),  Short Time Fourier Transform (STFT), and Continuous Wavelet Transform (CWT)
  • The PSSD and CLSSA methods use computational approaches that solve for a solution that preserves the time resolution inherent in the data, free of constraints of windowing and wavelet length
  • Fits seamlessly into your existing interpretation workflow as a Petrel or DecisionSpace® plug-in
  • User-friendly GUI with easy method selection and minimal parameterization
  • Adds common frequency cubes to your database as well as outputting frequency gathers for further analysis


  • PSSD and CLSSA maintain the time resolution of the data without sacrificing frequency resolution, thereby enabling the interpretation of the spectral characteristics of individual seismic events
  • Optimized time-frequency resolution trade-off
  • Enhanced bright spot analysis including narrower frequency spectra and more detailed peak frequency trends potentially related to geological characteristics
  • Improved imaging of thin beds
  • Four spectral decomposition options enable users to utilize the method best suited for their interpretation needs





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