The steering and neural networks plugins for OpendTect are provided with default attribute sets to help get the user started. The sets have proven their value in several studies, and generally deliver good results in their respective applications. Attribute sets starting with NN are meant as input for a neural network and are optimized to detect certain geological features (ChimneyCube, SaltCube etc ...), The other attribute sets have different other purposes. Note that all default attribute sets need a SteeringCube.
In general, default sets give satisfactory results and therefore inexperienced user can use the sets without modifications. Experienced users can use the sets as starting point for attribute analysis. Fine-tuning is done by modifying attribute parameters, and/or adding or removing attributes. To give the user a good idea about the applicability of the default attribute set, typical examples are provided in the next sections of this appendix. All examples contain a short description of the attribute set and its characteristics, an example of seismic data and the result after applying the default attribute set to this data.
The "Evaluate attributes" is a default attribute set which gives the user the possibility to find the best parameter setting for a particular attribute. To evaluate attributes, use your visual inspection, common sense, seismic knowledge.
Only for this particular default attribute set, the use of dGB plugins (SteeringCube and/or Neural Network) is not needed.
