摘要
将地质统计学方法引入到油气藏参数识别中,以井点已知信息为条件,确定油藏参数初始分布的先验模型,建立了初始油气藏孔隙度、渗透率参数和压力拟合的目标函数。目标函数中考虑了动、静态信息。采用改进的Gauss-Newton法,利用后验协方差矩阵估算油藏参数,实现了一种有效反求非均质低渗透油藏参数的方法。计算结果表明,该算法收敛性好,确定的渗透率场比孔隙度场更准确。
The geo-statistical method was used to identify the parameters of oil and gas reservoir. A prior model for initial distribution of reservoir parameters was determined on the basis of information around a well. The dynamic and static information was integrated to formulate the objection functions including initial permeability, porosity and pressure matching. The modified Gauss-Newton algorithm was used to calculate the multi-parameter of reservoir using post-covariance matrix. A fine characterization method for conditioning to static and dynamic data in a heterogeneous low-permeability reservoir is proposed. Some field cases show that the algorithm is convergent. The permeability field is more accurate than porosity field in some applications.
出处
《石油学报》
EI
CAS
CSCD
北大核心
2006年第3期87-90,共4页
Acta Petrolei Sinica
基金
国家自然科学基金项目(No.10172061)"油藏渗流反问题理论及剩余油分布规律研究"部分成果
关键词
非均质油气藏
参数识别
反问题理论
渗透率
孔隙度
油藏描述
计算模型
heterogeneous reservoir
parameter identification
inverse problem theory
permeability
porosity
reservoir description
calculation model