OpendTect dGB Plugins User Documentation V3.0
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6.4. NN Slump Cube

This attribute set was created by Andrew Wilson of BG International for quickly mapping turbidite slumps. The slumps are characterized by chaotic reflection patterns and frequency losses. Tops and bottoms are difficult to map using conventional techniques. In Figure 6-8 a conventional view of the seismic data (left) and slump detection results (right) is shown and in Figure 6-9 the slump detection results are presented as a 3D body.

Figure 6-8. 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 6-9. 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.

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