基于PCA的LS-SVM预测模型应用

摘要

Identification and prediction of oil and gas reservoirs are popular research topic today. Based on logging data, the proposed PCA-based LS-SVM forecasting model is applied identify oil and gas reservoirs, comparing with artificial neural network prediction model. The results show that the model's performance is stronger than other models, has a certain value.%油气储层的识别和预测是当今热门的研究课题.本文以实地测井数据为基础,提出基于PCA的LS-SVM预测模型对储层油气进行分类预测,并与人工神经网络预测模型对比.结果表明,该模型的性能优于其它模型,具有一定的应用价值.