Predicting sand-grain composition and sand texture

G - Physics – 01 – V

Patent

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G01V 9/00 (2006.01)

Patent

CA 2579011

A method and apparatus for predicting sand-grain composition and sand texture are disclosed. A first set of system variables associated with sand-grain composition and sand texture is selected (605). A second set of system variables directly or indirectly causally related to the first set of variables is also selected (610). Data for each variable in the second set is estimated or obtained (615). A network with nodes including both sets of variables is formed (625). The network has a directional links connecting interdependent nodes. The directional links honor known causality relationships. A Bayesian network algorithm is used (630) with the data to solve the network for the first set of variables and their associated uncertainties.

La présente invention concerne un procédé et un dispositif pour prévoir la composition granulaire d'un sable et sa texture. Un premier ensemble de variables système associées à la composition granulaire du sable et à sa texture, est sélectionné (605). Un second ensemble de variables système ayant une liaison causale directe ou indirecte avec le premier ensemble de variables, est également sélectionné (610). Des données relatives à chaque variable du second ensemble, sont estimées ou obtenues (615). Un réseau à noeuds comprenant les deux ensembles de variables, est formé (625). Le réseau comprend des liens directionnels qui connectent des noeuds interdépendants. Les liens directionnels vérifient des relations de causalité connues. Un algorithme de réseau de Bayes est utilisé (630) avec les données pour résoudre le réseau pour le premier ensemble de variables et leurs incertitudes associées.

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