Coherence data is best viewed as time slices or as a whole coherence cube. In good quality data, faults can be strikingly evident and spatial patterns of faulting can be clearly discerned. Figure 2 is a time slice through a salt dome showing the common pattern of radial faults. The upper half of the time slice is in coherence and the lower half is the normal time slice display in amplitude. Note how the faults are more clearly visible in coherence.
Coherence is of less benefit in poor data and can sometimes be quite ambiguous.
Different algorithms from various vendors can give different results. Once the major faults have been recognized and the tectonic framework established, machine autotracking should be used to complete horizon surfaces. The autotracker follows the crest of an identified peak or trough with very high precision. An important part of fault recognition is then scrutinizing these horizon surfaces in an attempt to distinguish geology from noise. Time-derived horizon attributes are used for this purpose.