Identification Method Research of Functional Link Nets for Oil Reservoir Systems
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Identification Method Research of Functional Link Nets for Oil Reservoir Systems
Vol. 14, Issue 3, Pages: 29-32(2009)
作者机构:
大庆时代广场管理处
作者简介:
基金信息:
DOI:
CLC:TP183
Published:2009
稿件说明:
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WU Xue-yu. Identification Method Research of Functional Link Nets for Oil Reservoir Systems[J]. 2009, 14(3): 29-32.
DOI:
WU Xue-yu. Identification Method Research of Functional Link Nets for Oil Reservoir Systems[J]. 2009, 14(3): 29-32.DOI:
Identification Method Research of Functional Link Nets for Oil Reservoir Systems
摘要
一些油藏系统的偏微分方程模型
经过变换能化为非线性函数项级数
级数的每一项均为地层参数θ的复杂非线性函数.地层参数是试井解释的依据
因而要求其估值应具有全局最优性
又因上述函数为多峰函数
在极值点处关于θ的变化很敏感
使问题更为困难
现有迭代法均未奏效.为了解决了这个问题
提出了一种新型混合遗传算法.实际应用表明
用上述方法建模具有很高的精确度
模糊的平均相对误差在1%以内
并且能求出地层参数的全局最优估值.
Abstract
Partial differential equation models of some oil reservoir systems can be transformed
such as well test interpretation
into series composed of nonlinear function terms.Every term is complex nonlinear function of stratigraphic parameters θ.Stratigraphic parameters are the foundation of well test interpretation
so their global optimal estimate values must be sought.And the problem beoames more difficult because aforesaid functions are multimodal functions and very sensitive in extreme point about the change o...