摘要
研究一种新型调剖参数优化设计方法。以某油田调剖施工井为例,根据油田调剖工艺施工特点将施工参数分为人为可控参数和目的参数,结合灰色关联分析和BP神经网络两种技术实现人为可控参数的优化,预测此人为可控参数对应的调剖结果。
The significance of this paper lies in utilizing and uniting mathematic theories.It uses grey Relation Analysis Method and Back-propagation(BP) Artificial Neural Network,to optimize the artificial controllable parameters with the purpose of obtaining the ideal objective parameters.In addition,this paper also describes how to use MATLAB,powerful mathematic calculation software,to program the two algorithms.
出处
《重庆科技学院学报(自然科学版)》
CAS
2011年第6期111-113,共3页
Journal of Chongqing University of Science and Technology:Natural Sciences Edition
关键词
调剖
施工参数优化
灰色关联度
BP神经网络
profile modification
parameters optimization
grey relation analysis
BP neural network