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通过对比研究SVM、GRNN、Bayesian、Elman四种当下流行的岩性识别方法,对比实验中每种方法使用同样的测井资料作为样本,对相同的测井数据做预测识别,选出更为适合的方法应用到测井岩性解释自动识别中。
By contrasting the current popular lithology identification methods such as SVM, GRNN, Bayesian and Elman, each method in the comparative experiment uses the same logging data as a sample, predicts the same log data, and selects more suitable The method is applied to logging lithology interpretation automatic identification.