| 利用神经网络外推预测油田综合含水率 |
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| 引用本文： | 吴新根,葛家理.利用神经网络外推预测油田综合含水率[J].中国石油大学学报(自然科学版),1995(3). |
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| 作者姓名： | 吴新根 葛家理 |
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| 作者单位： | 石油大学石油工程 |
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| 摘 要： | 逻辑斯特（Ｌｏｇｉｓｔｉｃ）模型常被用来预测油田晚期勘探阶段的石油资源，还可用来预测一个油区的含水率变化过程。文中应用改进的神经网络算法和结构，预测油田的含水率变化趋势；并与Ｌｏｇｉｓｔｉｃ模型预测结果进行了比较，结果表明；神经网络是一种可行的石油资源外推预测方法。
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| 关 键 词： | 神经网络 外推法 预测 油田 开发后期 含水率 |
APPLICATION OF NEURAL NETWORK IN PREDICTING THE CHANGE OF WATER-BEARING CONTENT OF OILFIELDS |
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| Wu Xingen, Ge Jiali.APPLICATION OF NEURAL NETWORK IN PREDICTING THE CHANGE OF WATER-BEARING CONTENT OF OILFIELDS[J].Journal of China University of Petroleum,1995(3). |
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| Authors: | Wu Xingen Ge Jiali |
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| Abstract: | Logistic model is usually used to predict the oil resources in the later period ofoil explorati on and the water-bearing content.The improved algorithm and archi tecture ofneural network was used to predict the water-bearing content of oil field.Compared with theLogistic model. neural network is feasible for oil-resource predicting. |
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| Keywords: | Nerve network Extrapolation:Prediction Oilfields: Development latestage:Water cut |
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