| 应用人工神经网络预测油井产量和产水量 |
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| 引用本文： | 李论,谢俊,薛中天. 应用人工神经网络预测油井产量和产水量[J]. 西安石油大学学报(自然科学版), 1997, 0(1) |
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| 作者姓名： | 李论 谢俊 薛中天 |
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| 作者单位： | 西安石油学院 |
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| 基金项目： | 国家“863”高科技研究资助 |
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| 摘 要： | 论述了应用人工神经网络技术预测油井产油量和产水量的方法．利用油井过去实际每个月的日平均产油量和产水量做为网络的训练样本，经网络学习后，输入油井待预测的时间，可预测出相应时间的日平均产油量和产水量．同时，编制的通用软件经胜利油田２１口井实际产油量和产水量检验，结果表明：网络是一种可行性的预测油田单井产量的方法
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| 关 键 词： | 神经网络，油井产量，单井产量，产量预测 |
Predicting Oil and Water Productoin of Oil Wells by Artificial Nerve Network |
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| Li Lun et al. Predicting Oil and Water Productoin of Oil Wells by Artificial Nerve Network[J]. Journal of Xian Shiyou University, 1997, 0(1) |
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| Authors: | Li Lun et al |
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| Abstract: | The paper expounds a new method of predicting the oil and water production of oil wells by artificial nerve network.The method uses the actual daily average oil production and daily average water production per month in the past as the training sample.After learning by the network,the daily average production and daily average water production can be predicted by inputting the time to be predicted.The general purpose software programmed by the auther was verified by actual oil production and water production of 21 wells in Shengli Oil Field.The results show that nerve network is a feasible method of predicting producing rate of single well in the oil field. |
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| Keywords: | nerve network well production rate output per well production forecast |
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