摘要
描述油气田产量与开发时间之间非线性关系的Г模型具有精度高、应用方便、用途广泛等优点,但非线性参数估计难度较大.文中采用具有智能性的的遗传算法求Г模型参数的最优估计值,引用油气田实际产量数据进行估计和预报,获得了优于常规非线性最小二乘法的结果.
model can describe a non linear relationship between production rate and time for development of oil and gas fields.It has some advantages such as high precision,convenience and wide usage,but to estimate the non linear parameters is very difficult.This paper provides a new method of intelligent genetic algorithm to determine optimal parameters for Γ model.This method has proved better than the least square method in actual examples.
出处
《中国海上油气（地质）》
CAS
2001年第2期127-130,共4页
China Offshore Oil and Gas(Geology)
基金
国家重点实验室基金
关键词
油气田
产量预报Γ模型
参数估计
遗传算法
production prognosis for oil field
Γ model
non linear model
parameter estimation
genetic algorithm
