数值模拟技术在优化M油藏聚合物驱方案中的应用

Application of numerical simulation technology in optimizing polymer flooding scheme of M Reservoir

室内物理模拟实验优化的聚合物溶液注入参数存在误差,单靠一种方法优化的结果很难对矿场试验方案提供有效指导。室内物理模拟实验优化后再通过数值模拟技术对聚合物溶液各注入参数进一步优化,可有效提高对矿场试验方案的指导性。在深化对M油藏地质认识基础上,基于油藏水驱数值模拟模型,通过加入聚合物溶液物性参数建立M油藏聚合物驱数值模拟模型,应用数值模拟技术对聚合物溶液注入质量浓度、注入速度、注入孔隙体积及注入段塞组合方式等参数进行优化模拟计算,并对开发指标进行预测,优选出效果最佳、经济效益最好的参数组合。模拟结果显示,聚合物驱降水增油效果明显,与继续水驱相比,预计15年内综合含水率最高降低3.74个百分点,采收率提高9.67个百分点。模拟结果为矿场试验方案的编制提供了理论依据。

There are errors in the polymer solution injection parameters optimized by the laboratory model experiment, so it is difficult to provide effective guidance for the field test scheme by relying only on the optimization results of a single method. After the experimental optimization, the injection parameters were further optimized through the polymer flooding numerical simulation technology, which could improve the guidance of the optimization results to the field test scheme. On the basis of deepening understanding of M Reservoir geological, the polymer flooding model is established by adding the polymer solution physical parameters to reservoir water flooding digital model. Numerical simulation technology is applied to optimize the parameters of polymer solution injection concentration, injection speed, injection pore volume and injection slug combination mode, and the development index is predicted to optimize the parameter combination with the best effect and economic benefit.. The simulation results show that the effect of polymer flooding is obvious. Compared with the continuous water flooding, the comprehensive water cut is expected to decrease by 3.74 percentage points and the recovery factor is expected to increase by 9.67 percentage points in 15 years. The simulation results provide a theoretical basis for the preparation of field test scheme.