摘要
利用低渗透油田注水井的地质和动态统计资料,建立多元回归统计数学模型,采用逐步选择因素的后退法,求解最优化回归预测方程,对影响吸水量的各因素按作用效果显著程度进行了排序,利用水井资料对所得到的最优化回归方程进行了检验。结果表明,水井连通度是影响水井吸水量最主要因素,储层渗透率次之。
Based on the geological and dynamic statistics of injection wells at low permeability oilfield,a statistical model was built by the multiple regression method.The successive step-back selection method for factors’ determination was used to solve the optimized regression prediction equation.All the factors were ordered according to their effect on the water intake capacities.And the optimized regression prediction equation is then verified with the water well data from Oilfield.The results show that the injection well connectivity is the primary factor that affects the water intake capacity for low permeability reservoirs,and the formation permeability takes the second place..
出处
《齐齐哈尔大学学报（自然科学版）》
2010年第2期60-63,共4页
Journal of Qiqihar University(Natural Science Edition)
基金
黑龙江省高校科技创新团队建设计划资助
关键词
低渗透油藏
注水井
吸水量
逐步后退选择法
low permeability reservoir
injection wells
water intake capacity
successive step-back selection
