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| 自适应遗传神经网络算法在测井资料标准化中的应用 | |
| 引用本文： | 王树明,苏树林,郭万奎,李舟波.自适应遗传神经网络算法在测井资料标准化中的应用[J].计算机工程,2004,30(13):154-156. |
| 作者姓名： | 王树明 苏树林 郭万奎 李舟波 |
| 作者单位： | 1. 吉林大学计算机科学与技术学院,长春,130012 2. 大庆油田有限责任公司,大庆,164300 3. 吉林大学地球探测与信息技术学院,长春,130026 |
| 摘 要： | 在系统分析了遗传算法的优缺点的基础上，研究如何利用遗传算法与神经元网络相结合进行测井数据标准化。实际处理结果表明，利用该方法能够有效地对地球物理测井资料进行质量检查和校正。 |
| 关 键 词： | 遗传算法 神经元网络 测井 数据标准化 |
| 文章编号： | 1000-3428(2004)13-0154-03 |
Application of Well Logging Data Standardization by Genetic Neural Artificial Network Algorithm |
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| WANG Shuming,SU Shulin,GUO Wankui,LI Zhoubo.Application of Well Logging Data Standardization by Genetic Neural Artificial Network Algorithm[J].Computer Engineering,2004,30(13):154-156. | |
| Authors: | WANG Shuming SU Shulin GUO Wankui LI Zhoubo |
| Affiliation: | WANG Shuming1,SU Shulin2,GUO Wankui2,LI Zhoubo3 |
| Abstract: | According to the status of researching into well logging data measurement error and the advantages and shortages of varies genetic algorithm, an standardization method of well logging data by adaptive genetic artificial network algorithm is schemed out. The proposed method is applied to the identification of error data. The model and method must be supported by software. Simulation results applying the method to actual logging data in Daqing oil field show that the proposed method works well in the standardization of well logging data. |
| Keywords: | Genetic algorithm Neural network Well logging Data standardization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |