%0 Journal Article
%T PREDICTION OF POROSITY BASED ON BP ARTIFICIAL NEURAL NETWORK WITH WELL LOGGING DATA<br>基于测井资料的BP神经网络模型在孔隙度定量预测中的应用
%A LIAN Cheng-bo
%A LI Han-lin
%A QU Fang
%A CAI Fu-long
%A ZHANG Jun-tao
%A <br>连承波
%A 李汉林
%A 渠芳
%A 蔡福龙
%A 张军涛
%J 天然气地球科学
%D 2006
%I 
%X Analyzing the shortcoming of porosity prediction, and considering the relationships between reservoir porosity and well logging data, the BP network model of prediction of reservoir porosity was established by means of BP network method of ANN theory. The error analysis and practical use show that the BP network method to predicting reservoir porosity is a feasible method.
%K Logging data
%K BP artificial neural network
%K Porosity prediction<br>测井资料
%K BP神经网络
%K 孔隙度预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=E8CFCA71B77A2FF3&jid=ACDC74B90F609E2435847898490F3647&aid=E723F9C3A0C96EA8&yid=37904DC365DD7266&vid=BCA2697F357F2001&iid=38B194292C032A66&sid=9C82B18080268586&eid=05340B75C67FF664&journal_id=1672-1926&journal_name=天然气地球科学&referenced_num=2&reference_num=13