说明：  ：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
(: Will be based on statistical learning theory of support vector machine approach to the introduction of logging data processing and interpretation. Lithology identification in the logging study found that support vector machine neural network to overcome the inherent shortcomings, provides a new method of lithology identification. Application results show that the method has strong adaptability to identify the advantages of high accuracy)