- Apply structurally oriented filters
- Extract mult-trace attributes along seismic reflectors
- Compute volume curvature attributes
- Extract horizons individually, or as a dense set (HorizonCube) using inversion-based flattening algorithms.
Here, we show an example of the power of utilizing dip / azimuth information in the computation of multi-trace attributes. Similarity, a kind of coherency attribute, is a popular attribute in OpendTect to visualize and detect geological features. In the slider below we compare a similarity attribute computed with and without (dip-)steering. Note the much better continuity of stratigraphic features and the suppressed left-to-right footprints on the Dip-steered similarity. The example is from the Taranaki basin in New Zealand.
Dip Steering can be rented directly from our Pro store.