Prediction of asphaltene precipitation using artificial neural network optimized by imperialist competitive algorithm

被引：104
作者：
Ahmadi M.A. [1 ]
机构：
[1] Department of Petroleum Engineering, Ahwaz Faculty of Petroleum Engineering, Petroleum University of Technology, Ahwaz, Kut Abdollah
来源：
Journal of Petroleum Exploration and Production Technology | 2011年 / 1卷 / 2-4期
关键词：
Artificial neural network; Asphaltene; Imperialist competitive algorithm; Precipitation; Prediction;
D O I：
10.1007/s13202-011-0013-7
中图分类号：
学科分类号：
摘要：
One of the most important phenomena in petroleum industry is the precipitation of heavy organic materials such as asphaltene in oil reservoirs, which can cause diffusivity reduction and wettability alteration in reservoir rock and finally affect oil production and economical efficiency. In this work, the model based on a feed-forward artificial neural network (ANN) optimized by imperialist competitive algorithm (ICA) to predict of asphaltene precipitation is proposed. ICA is used to decide the initial weights of the neural network. The ICA-ANN model is applied to the experimental data reported in the literature. The performance of the ICA-ANN model is compared with Scaling model and conventional ANN model. The results demonstrate the effectiveness of the ICA-ANN model. © 2011 The Author(s).
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页码：99 / 106
页数：7
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