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| 弹性BP神经网络识别油气储层类型的研究 | |
| 引用本文： | 张涛,张小莉,杨立娟.弹性BP神经网络识别油气储层类型的研究[J].科技情报开发与经济,2010,20(6):142-144. |
| 作者姓名： | 张涛 张小莉 杨立娟 |
| 作者单位： | 1. 西北大学信息学院、陕西西安,710069 2. 西北大学地质系,陕西西安,710069 3. 西安市第四人民医院影像中心,陕西西安,710004 |
| 摘 要： | 从油气储层类型识别的现状出发,提出采用弹性BP神经网络进行油气储层类型识别的原理、方法。与试油试水资料比对的结果表明,弹性BP神经网络可在不增加额外测井数据的情况下,对储层类型进行较准确的判别,相对于常规BP网络,可在减少网络训练时间的同时,提高网络预测的正确性。 |
| 关 键 词： | 储层类型 BP神经网络 弹性算法 |
Research on Recognizing the Types of Oil and Gas Reservoirs by Resilient BP Neural Network |
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| ZHANG Tao,ZHANG Xiao-li,YANG Li-juan.Research on Recognizing the Types of Oil and Gas Reservoirs by Resilient BP Neural Network[J].Sci-Tech Information Development & Economy,2010,20(6):142-144. | |
| Authors: | ZHANG Tao ZHANG Xiao-li YANG Li-juan |
| Institution: | ZHANG Tao,ZHANG Xiao-li,YANG Li-juan |
| Abstract: | This paper puts forward the theories and methods for recognizing the types of oil and gas reservoirs by resilient BP neural network in terms of the present situation of type-recognizing of oil and gas reservoir.The comparison of water-testing and oil-testing data shows that the resilient BP neural network can make more accurate discrimination of the types of reservoirs without any additional data of well logging.Compared with the regular BP network,it can improve the correctness of network prediction while ... |
| Keywords: | types of reservoir BP Neural network resilient algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |