Iterative disjoint cluster and discriminant function processing of formation log responses and other data
US4937747A · kind A · utility
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2References
21Claims
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Key dates
| Filing date | Feb 16, 1988 |
| Grant date | Jun 26, 1990 |
| Priority date | — |
| Expiry date | Feb 16, 2008 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01V11/002
- WIPO fieldMeasurement
- WIPO sectorInstruments
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 discriminant function for the thus produced n=a disjoint clusters; (c) generating a measure respresentative of agreement/disagreement betweeen the classification generated by cluster analysis in step (a) and the classification generated by discriminant analysis in step (b); (d) repeating steps a-c for other numbers n=a, b, c, . . . ; and (e) selecting the set n=k where k is a, b, c, . . . , where the measure shows best agreement.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.