摘要
基于稠油区块不同井距下的吞吐开采周期数据,采用前向人工神经网络(BP网络),对稠油区块各井距周期产量进行预测,达到预测稠油区块年产量的目的。经过实际应用结果表明,本文所采用的预测方法是一种预测中短期蒸汽吞吐稠油区块年产量的有效方法,可供油藏工程的有关技术人员参考。
Based on developing data of the heavy crude oil section in different distance between the wells, the BP network is adopted to predict the period output of each distance between wells for heavy crude oil section. The aim to predict the annual output of the heavy crude oil section can be achieved. The results via practical applications indicate that the predicting method in this paper is an efficient technique for predicting the annual output of heavy crude oil section in medium or short term based on steam with taking in and sending out, it can be given a reference to the technical staff, who are engaged in doing scientific research of petroleum reservoir engineering in oilfield.
出处
《微计算机信息》
北大核心
2006年第02Z期248-250,共3页
Control & Automation
基金
中石油科技发展基金(2110250211016)项目资助
关键词
BP网络
周期法
蒸汽吞吐
产量预测
BP network
method of period
steam with taking in and sending out
prediction of output
