Computer-based generation and validation of training images for multipoint geostatistical analysis

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 d...

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Bibliographische Detailangaben
Hauptverfasser:	DAVID MCCORMICK, CLAUDE SIGNER, DANIEL TETZLAFF, PIOTR MIROWSKI, NNEKA WILLIAMS
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING DETECTING MASSES OR OBJECTS GEOPHYSICS GRAVITATIONAL MEASUREMENTS HANDLING RECORD CARRIERS MEASURING PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS TESTING
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Beschreibung
Zusammenfassung:	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.