Importance

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Abstract

An empirical ensemble based virtual sensor system (VS) for the estimation of an amount of water (C) or oil (A) in a fluid mixture, said virtual sensor comprising two or more empirical models (NN.sub.1, NN.sub.2, . . . , NN.sub.n). The amount is estimated in each of the empirical models (NN.sub.1, NN.sub.2, . . . , NN.sub.n), and a combination function combines (f) the results from the empirical models (NN.sub.1, NN.sub.2, . . . , NN.sub.n) to provide a combined estimate for the amount (y.sub.R) that is more accurate than the estimated amount (y.sub.1, y.sub.2, . . . , y.sub.n) from each of the individual empirical models (NN.sub.1, NN.sub.2, . . . , NN.sub.n). The total performance of the virtual sensor system may be increased by increasing the number of empirical models (NN.sub.1, NN.sub.2, . . . , NN.sub.n).

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First Claim