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US 7,630,517 B2Granted
Computer-based generation and validation of training images for multipoint geostatistical analysis
AssigneeSchlumberger Technology Corporation
InventorsPiotr Mirowski, Daniel Tetzlaff, David McCormick, Nneka Williams, Claude Signer
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Abstract
A computer-implemented method is provided that automatically characterizes and verifies stationarity of a training image for use in multipoint geostatistical analysis. The stationarity is preferably characterized by statistical measures of orientation stationarity, scale stationarity, and category distribution stationarity.
Claims24
A computer-implemented method comprising:
- using a computer to carry out the steps of:
- analyzing digital data representing an image to generate at least one statistic characterizing stationarity of the image;
- deriving at least one score based upon said at least one statistic;
- determining whether said at least one score satisfies a stationarity criterion;
- and
- upon determining that said at least one score satisfies said stationarity criterion, storing or outputting said image for use as a stationary training image grid in at least one multipoint geostatistical analysis.
3 more elements
Dependencies are inferred from the claim text.