Research and Application of Lithology Identification Method Based on GWO-BiLSTM
In order to solve the problems of low accuracy,long time and human influence,a new lithology identification method based on GWO-BiLSTM is proposed.Combining well log data,core data and well logging data,the lithology identification in the study area is carried out by conventional method,but the effect is poor,and then the lithology identification is carried out by using the GWO-BiLSTM model.Each log and lithology were analyzed according to Pearson function,and log values with absolute correlation coefficients greater than 0.3 were selected as input features.Grey Wolf optimization algorithm was used to randomly generate and update BiLSTM hyperparameter combination,so as to obtain the optimal solution more quickly and further improve the efficiency and accuracy of the model.Experiments show that the accuracy rate of lithology identification based on GGO-BILSTM model is 96%,which is higher than that of BiLSTM model,RF model,BP neural network and SVM model,which verifies the reliability of this model in the identification of complex lithology,and provides a method reference for complex lithology identification.
万方数据
维普
