Natural Gas Consumption Forecasting Based on Combinatorial Optimization Model

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Abstract:

As the estimating of natural gas consumption can provide a better guidance target to gas production and market development ,its accuracy is playing an extremely important role in both the reasonable programming of oil and gas field development management and the promotion of economic benefits. This article builds a mathematical model of combinatorial optimization based on the natural gas consumption data of China, and solves it then by means of MATLAB .Compared with the actual value, the deviation of the combinatorial optimization worked out less than that in the single calculating method. When applied to the real production, this model can provide theoretical evidence to the programming of oil and gas development management and the adjustment of development project as well.

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174-178

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Xiaodong Wang, Kun Huang. Neural network forecasting method on natural gas sonsumption[J]. Natural Gas Exploration and Development, 2007, 30(3): 70-73. In Chinese.

Google Scholar

[2] Honglei Lin, Tao Pu. World gas demand forecasting based on grey system theory[J], Natural Gas Technology, 2007(4): 77-78. In Chinese.

Google Scholar

[3] Dehong Lu. Characteristics of user's natural gas demand and demand forecasting method. China Petroleum Economics, 2002, 10(12): 25-28. In Chinese.

Google Scholar

[4] Meishi Wang, Xiangguang Chen. Application of multivariable linear regression method in oil field production forecasting[J]. Oil field Surface Engineering, 2004, 23(11): 25-26. In Chinese.

Google Scholar

[5] Liuren Li, Licheng Jiao. Oilfield production multiple factor nonlinear time varying forecasting based on artificial neural network[J]. Journal Of Xi'an Shiyou University(Natural Science Edition), 2002, 17(4): 42-44. In Chinese.

Google Scholar

[6] Jiancheng Yin, Zhibin Liu. Self-adapting combinatorial optimization forecasting model research on natural gas demand. Natural Gas Industry, 2004, 24(11): 167-169. In Chinese.

Google Scholar