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- W4910426 abstract "This paper presents a direct method to gas-oil interface level determination using an artificial neural network approach based on Electrical Capacitance Tomography (ECT) measurements. Direct here means that the gas-oil interface levels are obtained directly from the ECT measurements without recourse to image reconstruction. The preliminary work models a separation tank that i~ filled with gas anc: oil. An ECT system, attached around the tank is used to obtain ECT measurements. Sets of.ECT measurements together with their corresponding oil heights are fed into a Multi-Layer Perceptron '(MLP) neural' network system for training processes. After being trained, the MLP is tested by giving it sets of independent ECT measurements. The results show that direct gas-oil interface level measurement from ECT data is feasible with the use of a neural network system." @default.
- W4910426 created "2016-06-24" @default.
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- W4910426 date "2004-01-01" @default.
- W4910426 modified "2023-09-26" @default.
- W4910426 title "OIL HEIGHT DETERMINATION FROM CAPACITANCE TOMOGRAPHY MEASUREMENTS USING NEURAL NETWORK" @default.
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