西南石油大学学报(自然科学版) ›› 2003, Vol. 25 ›› Issue (3): 33-35.DOI: 10.3863/j.issn.1000-2634.2003.03.010
• 石油与天然气工程 • 上一篇 下一篇
胡泽 贾永禄
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HU Ze JIA Yong-Lu
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摘要： 对注水开发油田,提出一种新的油田动态研究模型,即油田产油量、产水量多维时间序列神经网络预测器。同时考虑油田增产措施和油田开发过程时变性,对各种随机干扰因素具有自适应性。从信息论角度出发,利用神经网络非线性时间序列预测模型,构造了油田产油量、产水量的多维时间序列神经网络预测器。结果表明,该预测器具有较高的预测精度,适合于油田各个阶段的产油量、产水量的动态预报。完善了油田产油量、产水量动态预报理论。最后给出了一个动态预报的实例。
关键词: 油田动态, 产量预测, 时间序列, 神经网络
Abstract: A new dynamic research model for injection water oil fields was presented. The model contains increase production measures and it is adaptive to various random factors together in the process of oil field exploitation. In this paper, using neuron network models of nonlinear multidimensional time series predic-tion, neuron network predictors for the oil production and water production of oil fields were constructed. Results illustrated that the predictors were up to higher prediction precision. But this method improved the theory of the dynamic prediction of oil production and water production .Finally, an example of the dynamic prediction were given.
Key words: oil field dynamic research, production prediction, time series, nerve network
中图分类号:
TE319
TE33
胡泽 贾永禄. 油田产量预报的多维时间序列神经网络模型 [J]. 西南石油大学学报(自然科学版), 2003, 25(3): 33-35.
HU Ze JIA Yong-Lu. NEURAL NETWORK MODEL OF DYNAMIC RESEARCH FOR INJECTION WATER OIL FIELDS[J]. 西南石油大学学报(自然科学版), 2003, 25(3): 33-35.
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