Neural networks versus Linear and Sequential Programming for Gas Lift Optimization in a two oil wells system

Abstract

Using a model-based optimization, a neural network model is developed to calculate the optimal values of gas injection rate and oil rate of a gas lift production system. Two cases are analyzed: a) A single well production system and b) A production system composed by two gas lifted wells. The results were compared with the linear and sequential programming… (More)
DOI: 10.1109/IJCNN.2009.5179056

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