摘要
超低渗透储层由于其地质因素复杂,产能变化大,影响产能预测的因素众多,因而产能预测难度大。针对这一问题,基于达西产量公式和储层产能的理论公式,以鄂尔多斯盆地延长组长6超低渗透砂岩储层31口井的数据为基础,首先对测井和压裂数据进行统计,确定了影响产能的10个因素;然后分别运用灰度关联、逐步回归分析、主成分方法选取主要影响因素;最后综合比较三种方法得出影响这类储层油井产能的主要因素。结果表明影响这类储层油井产能的主要因素不仅包含储层的物性参数:有效厚度、孔隙性,还包括电性因素:电阻率和自然伽马,以及压裂因素米加砂量。选择主要因素进行分析,可以使问题大大地简化,为该类储层影响因素的确定提供依据。
Owing to the complex geological factors and changeable productivity,there are many factors effect on the prediction of productivity in ultra low permeability reservoir.It is difficult to predict productivity.Aiming at this problem,based on Darcy production formula and reservoir productivity capacity formula and the data of thirty-one wells of the extra-low permeable reservoir of Yanchang Formation in Huaqing Area of Chang-6 field of the Ordos Basin,10 factors affecting the prediction of productivity are selected by statistics of well log and fracture data.By using the methods of grey relational analysis,stepwise regression analysis and key part analysis the key factors are fownd.Comprehensive analysis indicates that the key factors effecting on the prediction of productivity.It is held that the factors influencing oil well productivity of the reservoir include not only reservoir thickness and reservoir porosity,but also reservoir electric property and fracture elements which can’t be ignored.The results indicate that selecting the main factors to make analysis can greatly simplify the problem and provided methods for determination main factors.
出处
《科学技术与工程》
2010年第30期7408-7413,共6页
Science Technology and Engineering
关键词
超低渗透储层
油井产能
灰度关联
逐步回归分析
主成分分析
ultra low permeability reservoir oil well productivity grey relational analysis stepwise regression principal component analysis
