Spectral decomposition opens the door to a non-traditional remote sensing approach to seismic interpretation, revealing heterogenaity beyond classic seismic resolution and detection.
In remote sensing sub bands of electromagnetic frequencies are used to map interference patterns at the surface of the earth. In spectral decomposition, much lower seismic frequencies are used to examine interference in the subsurface - interference caused by a variable rock mass.
Spectral decomposition allows us to view subsurface seismic interference at discrete frequencies. This spectral view provides substantially more detail and fidelity than full bandwidth conventional attributes or amplitude. It reveals stratigraphic and/or structural edges as well as relative thickening and thinning. Fault definition is often superior to conventional edge detection methods.
Spectral Decomposition can also be used quantitatively via our spectral classification and inversion technologies.
Spectral Decomposition Time RGB Blend ( Data courtesy of Nexen Energy ULC )