| 基于BP神经网络的薄互层储层预测 |
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| 作者姓名： | 张大智 纪友亮 刘洪林 |
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| 作者单位： | 1. 同济大学,海洋与地球科学学院,上海,200092
2. 大庆石油学院,黑龙江,大庆,163318 |
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| 摘 要： | 根据地震属性来进行储层预测的研究，对于寻找油气具有十分重要的意义。而由于地下地质情况千变万化，不确定的因素太多，对这种多自变量与因变量的复杂关系模拟问题，神经网络技术是目前较成熟、实际应用效果也较好的方法之一。用BP神经网络来预测薄互层储层厚度，它可以建立属性参数与预测目标之间的高度非线性映射，并应用于具体的实例，为薄互层储层预测提供了新的思路。
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| 关 键 词： | 地震属性 薄互层储层 属性提取 BP神经网络 储层预测 |
| 收稿时间： | 2005-06-02 |
| 修稿时间： | 2005-06-02 |
Thin-inter bed reservoir prediction based on BP neural network |
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| Authors: | Zhang dazhi Ji youliang Liu honglin |
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| Institution: | 1. School of ocean and earth science ,Tongji university, Shanghai 200092; 2. Daqing petroleum institute, Daqing 163318 |
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| Abstract: | The research of reservoir forecasting is very important for looking for petroleum and gas according to the seismic attribute. However, the underground condition is intricate and there are many uncertainty factors.In order to solve the problem of the complicated relationship between independent variables and dependent var- iables, we resort to the Neural Network. In this paper, we introduce the back propagation neural network to pre- dict the thickness of thin - inter bed reservoir. The BP NN can establish the high nonlinear mapping between the object and the seismic attribute. Meanwhile, we apply it in practice. |
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| Keywords: | seismic attribute thin - inter bed reservoir attribute abstract BP NN reservoir prediction |
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