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

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.

中图分类号: 

• TP399