【摘要】 将基于统计学习理论的支持向量机方法引入到测井资料处理和解释中。在测井岩性识别方面研究发现,支持向量机方法克服了神经网络的固有缺陷,提供了一种识别岩性的新方法。应用效果表明该方法具有适应性强、识别精度高的优点。更多还原

【Abstract】 In this paper the SVM, which is based on statistic studying theory, is induced to logging data processing and interpretation. The research on logging lithology identification suggests that SVM can overcome the fundamental disadvantages of neural network, and it is a new method to identify lithology. The application of this method proves that it has high suitability and identification accuracy.更多还原