12.6 NN Salt Cube

This attribute set is meant for usage in a neural network. It is focused on detecting the generally chaotic, low-energy character of salt on seismic data. Because salt has many appearances, there are several possibilities for optimization. For example, one can focus on salt layers (horizontally oriented ) or salt domes (vertically oriented). For layers, you can consider to decrease vertical window lengths while for domes the vertical window lengths can be increased. Adding frequency attributes can also be considered since most salt bodies exhibit a different frequency content as compared to their surroundings.

"SaltCube" default attribute-set

In general, the NN SaltCube tends to pick up both salt layers and salt diapirs. In the example below, the bottom of the salt is very well resolved.

Figure 6. Salt in seismic data

Figure 7. Result after applying a neural network with the NN SaltCube as input. The salt probability is displayed as overlay over the seismic data, with blue indicating low salt probability and yellow to red indicating a high salt probability.