BP人工神经网络在计算含水饱和度中的应用研究  

APPLCATION OF BP ARTIFICIAL NERVE NETWORK TO CALCULATING WATER SATURATION

作　　者：胡俊[1] 

机构地区：[1]西南石油学院

出　　处：《天然气工业》2000年第2期39-41,共3页Natural Gas Industry

摘　　要：与传统的测井资料综合解释与数字处理方法相比较 ,BP人工神经网络方法具有极大的优越性和适用性 ,它勿需传统测井资料综合解释与数字处理方法所需的各种建立在实验之上的非精确的测井解释公式 ,BP人工神经网络方法在训练样品时只需知道测井原始数据和求解的实际数据 ,而在进行求解参数预测时则只需知道测井原始数据即可 ,这为复杂地层以及其它一些特殊情况下的测井解释和数字处理提供了一条切实可行的新途径。In comparison with the traditional log data comprehensive interpretation and digital processing methods,the BP artificial nerve network method possesses considerable superiority and applicability and it isn′t in need of various inexact log interpretation formulae which are based on the experiments and are necessary for the traditional methods.The BP artificial nerve network method is only in want of the primary log data and solving practical data when training the samples and of the primary log data only when forecasting solving parameters,which provides a new feasible way for the log interpretation and digital processing urder the conditions of complex formations and other special circumstances.

关 键 词：测井 模糊数学 含水饱和度 节点分析 神经网络 

分 类 号：TE15[石油与天然气工程—油气勘探]