| 双重神经网络预测储层及油气 |
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| 引用本文： | 张向君,管叶君.双重神经网络预测储层及油气[J].石油地球物理勘探,1997,32(5):717-723. |
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| 作者姓名： | 张向君 管叶君 |
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| 作者单位： | 大庆石油管理局物探公司 |
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| 基金项目： | 国家自然科学基金，中国科学院资助，中国石油天然气总公司资助，大庆石油管理局资助 |
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| 摘 要： | 由自组织神经网络和ＢＰ网络组成的双重神经网络，能够克服各自单独使用的局限性，可在复杂地区进行储层及油气预测。在ＢＰ网训练时，采用同伦学习算法，可得到全局最优解，且收敛速度很快。实际应用表明，在用自组织神经网络或ＢＰ网络不能进行储层及油气预测的地区，采用双重神经网络能取得很好的效果。
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| 关 键 词： | 双重神经网络 预测 储层 油气 |
Predicting a reservoir and the hydrocarbon resources by dual neural network |
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| Zhang Xiangjun, Guan Yejun, Cui Fenglin, Li Qingren and Wu Zhiqiang..Predicting a reservoir and the hydrocarbon resources by dual neural network[J].Oil Geophysical Prospecting,1997,32(5):717-723. |
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| Authors: | Zhang Xiangjun Guan Yejun Cui Fenglin Li Qingren and Wu Zhiqiang |
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| Abstract: | Dual neural network consisting of self-organizing neural network and BP neural network removes their respective limitations appearing in the separate uses ofthe two kinds of neural networks, so this dual neural network can be taken to predict reserv0ir and the hydrocarbon resources in complicated areas.The applicationof homotopy learning algorithm to BP network training brings global optimizationsolution and very fast convergence. Practical application shows that the dual neuralnetwork results in nice effect 0f reservoir and hydrocarbon prediction in the areawhere self-organizing neural network or BP network does not work. |
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| Keywords: | reservoir prediction dual neural network self-organizing neural network BP neural network homotopy learning algorithm |
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