关键词: 地层;岩石可钻性;时间序列;支持向量机;神经网络;预测模型

Abstract: The evolvement characters of formation drillability time series were analyzed.A new method for predicting drillability of un-drilled formation under the bit was proposed according to the theory of support vector machine.A prediction model for formation drillability time series was given.This method was applied to predict the formation drillability of Fugu 1 Well in Changqing Oilfield.The comparison of the prediction results with the results of BP neural network indicates that this method is better than BP neural network and has the advantages of high prediction accuracy and excellent generalization.This method is suitable for formation drillability prediction before drilling.

Key words: formation, rock drillability, time series, support vector machine, neural network, prediction model