论文详情

改进的开窗技术在利用测井资料预测渗透率中的应用

断块油气田

2004年 11卷第05期

阅读：110

Title

Application of the Improved Windowing Technique for Predicting Permeability with Well Logs

作者

刘青莲　宋子齐

Authors

Liu Qinglian,Song Ziqi.

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。

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.

关键词：

渗透率预测　测井曲线　神经网络;

Keywords:

Permeability predicting , Well logs , Nueral network.

;

基金项目

DOI