Seismic Attribute Computation:
The following seismic attributes can be computed in a 3D seismic cube, 2D section and on any extracted horizon including: normalized amplitude, noise-reduction amplitude, frequency, band width, continuity, envelope, 1st and 2nd envelope derivative, Hilbert transform, phase, phase acceleration, Q factor, relative acoustic impedance, dip and azimuth, dip variance, semblance, minimum and maximum curvatures, and normal. For better interpretation, several attributes can be co-rendered on top of each other in any probe or arbitrary slicer.
Seismic Facies Classification:
Seismic facies analysis is an essential tool for multi-attribute analysis and interpretation. Supervised facies classification transforms the initial seismic data into understandable geological information. From a series of seismic attributes that have been previously computed in the cube, the resulting volume represents the most probable facies according to well data. Facies probabilities can then be used for facies simulation inside the property modeling workflow.
Non-supervised facies classification
- Using computed seismic attributess
- Using classification algorithms
- To create seismic facies
Supervised facies classification
- Using well data correlation
- To provide local facies probability
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