This plug-in allows you to to perfrom spectral decomposition directly in Petrel.
The seismic shot record or migrated data-set depends on the scale at which it is obtained. This tool is based on 2D and 3D wavelet transform techniques.
By analyzing time sections, various geological features such as faults, fractures channels etc. can be identified by varying the scale, thereby varying frequencies.
The user has the option of generating attributes for either inline, crossline or cube. The
algorithms used for these are 2D wavelet transform and 3D wavelet transform. The user provides information about the scale and type or wavelet to be used for spectral analysis. There is also an option for analyzing the amplitude or instantaneous phase spectrum. By selecting virtual or realize option, the user can generate a temporary data or directly save it in either zgy or segy format by activating realize option.
Any observation whether it is a photograph, a seismic shot record or migrated data-set depends on the scale at which it is obtained. The Spectral Decomposition plug-in analyzes the scale dependence of seismic data. This tool is based on 2D and 3D wavelet transform techniques applied in form of continuous wavelet transform. This method is based on the assumption that the rise and decay of wavelet coefficients are directly related to scale and thus related to singularities in data-set.
The Spectral Decomposition plug-in is a novel wavelet analysis technique to analyze a multi-scale signal, tightly integrated into Petrel. Existing wavelet transform techniques apply 1D wavelets which are time consuming. Unlike 1D wavelets, 2D and 3D wavelets use spatial information of seismic data and thus a complete section or a cube can be analyzed fast, with varying scales. This plug-in makes use of Mexican or Morlet wavelet with an option to decompose amplitude or phase.
ECCN: India w/ US Content, EAR99