About Highest Probability Modeling

The Highest Probability algorithm starts by building a table of all unique g-values encountered within the control points. For each of these g-values, a probability model is created based on the inverse-square law (probability is inversely proportional to the square of the distance). The program then assigns the final node values based on the g-value with the highest probability.

Note: Although this program is designed primary for lithologic modeling, it may also be used with other types of data with the caveat that the processing time increases with the number of unique g-values.