[Techlog Tutorials] 6 K.mod© – modelling/repair of core and/or log data.

K.mod© – modelling/repair of core and/or log data

The main objective when using K.mod© is to create a network model to predict the values of a desired formation property (e.g. permeability), or the values of a desired logging curve, from a combination of input log data. In the first case, the objective would be to predict the formation property outside cored intervals whilst in the second case the objective would be to create modeled curve data to infill a target curve over just those intervals in which the target data were affected by e.g. bad hole conditions.
 K.mod is a “Multilayer Perceptron” (MLP) type of neural network. It operates on the principle of back-propagation of errors to modify the choice of nodal weight factors for each node in a chosen layered design.

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