Patent Document ID: 7747552
Application ID: 11631740

Base Claim:
1. A method for predicting sand-grain composition and sand texture comprising: selecting a first set of system variables, said first set associated with sand-grain composition and sand texture; selecting a second set of system variables, said second set being directly or indirectly causally related to said first set of variables; obtaining or estimating data for each variable in the second set; forming a network with nodes comprising both sets of variables, having directional links connecting interdependent nodes, said directional links honoring known causality relationships; and using a Bayesian Network algorithm with said data to solve the network for said first set of variables and their associated uncertainties.

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Claim 5:
5. The method of claim 1 , where selecting the first set of system variables comprises: selecting one or more system variables associated with sand-grain composition; and selecting one or more system variables associated with sand texture.