Neural Network for Prediction of Oil Production

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Neural Network for Prediction of Oil Production

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Title: Neural Network for Prediction of Oil Production
Author: Muradkhanli, Leyla
Abstract: Artificial neural networks are popular tool in oil and gas industry. The objective of this paper is to develop an artificial neural network that predicts oil production in State Oil Company of Azerbaijan Republic (SOCAR). Multilayer perceptron neural network is applied to predict oil production. As a result 99 percent accuracy in training procedure is achieved. The accuracy of the developed model was99 percent accuracy in training procedure is achieved. The accuracy of the developed model was compared with empirical correlations. Great matching between neural network and actual data has been found.
URI: http://hdl.handle.net/123456789/2006
Date: 2018


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