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改进的开窗技术在利用测井资料预测渗透率中的应用
引用本文:刘青莲,宋子齐. 改进的开窗技术在利用测井资料预测渗透率中的应用[J]. 断块油气田, 2004, 11(5): 16-17
作者姓名:刘青莲  宋子齐
作者单位:西安石油大学
摘    要:渗透率是油藏描述和油藏工程中一关键性的参数.文中描述了一种计算渗透率的新方法,即在岩心分析化验数据和相关测井曲线数据归一化的基础上,利用改进的开窗技术,借助反馈的神经网络方法逐点计算地层的渗透率.通过在胜坨油田的实际应用,证明该方法预测的渗透率与实际渗透率符合较好,具有推广应用的价值.

关 键 词:渗透率预测  测井曲线  神经网络
修稿时间:2004-03-03

Application of the Improved Windowing Technique for Predicting Permeability with Well Logs
Liu Qinglian. Application of the Improved Windowing Technique for Predicting Permeability with Well Logs[J]. Fault-Block Oil & Gas Field, 2004, 11(5): 16-17
Authors:Liu Qinglian
Abstract:Permeability is an important parameter for a oil reservoir characterization and engineering. A new method of calculating permeability is introduced.It's on the base of the data from core analysis data and the unitary well logs.With the aid of the back propagation neural network,the improved windowing technique can calculate permeability of formation. Through used in the oilfield of Shengtuo ,the precision of the result is high,compared with core permeability.It's worthy of popularizing.
Keywords:Permeability predicting  Well logs  Nueral network.
本文献已被 CNKI 维普 万方数据 等数据库收录!
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