Iterative disjoint cluster and discriminant function...

G - Physics – 01 – V

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354/115

G01V 11/00 (2006.01) E21B 44/00 (2006.01)

Patent

CA 1300270

ABSTRACT A set of representative subpopulations of a dataset such as a set of depth related formation log responses is selected by (a) classifying the dataset into n=a disjoint clusters; (b) determining a discriminant function for the thus produced n=a disjoint clusters; (c) generating a measure representative of agreement/disagreement for the two classifications; (d) repeating steps a-c for other numbers n=a, b, c, ...; and (3) selecting the set n=k where k is a, b, c, .... where the measure shows best agreement. GMB:go 89010ART0176

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