This attribute set was created by Andrew Wilson of BG International for quickly mapping turbidite slumps. Slumps are characterized by chaotic reflection patterns and frequency losses; therefore, tops and bottoms are difficult to map using conventional techniques. In Figure 8-8 a conventional view of the seismic data (left) and slump detection results (right) is shown, and in Figure 8-9 the slump detection results are presented as a 3D body.
"SlumpCube" default attribute-set
Figure 8-8: Left seismic data with slumps, on the right the result of the neural network with the NN Slump Cube attribute set as input. Courtesy Andrew Wilson BG.
Figure 8-9: Result after applying a neural network with the NN Slump Cube as input. The slump volume is displayed as a three dimensional body. Courtesy Andrew Wilson BG.
