首页 | 本学科首页   官方微博 | 高级检索  
     

基于BP神经网络的优势通道定量计算方法
引用本文:李加祥,陈存良,王振,蔡炜,王满汉. 基于BP神经网络的优势通道定量计算方法[J]. 河南科学, 2014, 0(11): 2256-2258
作者姓名:李加祥  陈存良  王振  蔡炜  王满汉
作者单位:1. 中国石油大学 华东 石油工程学院,山东青岛,266580
2. 中海石油 中国 有限公司天津分公司,天津,300452
3. 中石化胜利油田鲁明油气勘探开发有限公司,山东东营,257000
基金项目:中油华北油田科技攻关项目
摘    要:目前优势通道参数的定量计算方法非常少.为此,借助典型井的优势通道参数定量解释结果,提出了一种利用BP神经网络模型定量计算优势通道参数的方法.从优势通道形成诱因及优势通道形成后的动态响应特征出发,选取优势通道控制因素作为BP神经网络的输入层,典型井的优势通道参数的定量解释结果作为BP神经网络的输出层,通过训练学习建立优势通道参数与控制因素相关的定量计算方法.结果表明,训练后的BP神经网络模型能准确计算优势通道的参数,计算结果与实际监测值误差不到10%,可以为调剖堵水等措施的实施提供技术支持,具有一定的矿场应用价值.

关 键 词:BP神经网络  优势通道  定量计算  高含水  调剖

Quantitative Calculation of Thief Zone Based on BP Neural Network
Li Jiaxiang,Chen Cunliang,Wang Zhen,Cai Wei,Wang Manhan. Quantitative Calculation of Thief Zone Based on BP Neural Network[J]. Henan Science, 2014, 0(11): 2256-2258
Authors:Li Jiaxiang  Chen Cunliang  Wang Zhen  Cai Wei  Wang Manhan
Affiliation:Li Jiaxiang,Chen Cunliang,Wang Zhen,Cai Wei,Wang Manhan (1. College of Petroleum Engineering, China University of Petroleum, Qingdao 266580, Shandong China; 2. Tianjin Branch, CNOOC, Tianjin 300452, China; 3. Luming Oil and Gas Exploration and Development Co. Ltd., Shengli Oilfield, SINOPEC, Dongying 257000, Shandong China)
Abstract:The method about quantitative calculations of thief zones is very few. A new method based on BP neuralnetwork is proposed with quantitative parameters of typical wells. The method takes the dynamic responsecharacteristics of thief zones as input and parameters of thief zones as output. BP neural network model isestablished through training,which can obtain quantitative results of thief zones. The results show that BP neuralnetwork model can accurately calculate the parameters of thief zones. The error between calculated results and theactual monitoring data is less than 10%,and meets the mineral requirements. This method has a high value for mine,which can provide technical support for the implementation of enhanced oil recovery and other measures.
Keywords:BP neural network  thief zone  quantitative calculation  high water cut  profile control
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号