南海东部Z油田提液策略及智能注采优化

针对南海东部Z油田转注完善注采井网后,中高含水期油田主力层持续递减、提液井选取困难,提液疏导液流增油难度加大等问题,根据智能注采优化方法,形成最优提液策略。从地层能量、储层潜力、引流优化等角度逐一剖析,运用储层品质指数与无因次采液指数明确"内在高潜力提液井",利用基于支持向量代理辅助的粒子群算法(SVR-PSO)注采优化算法,以经济净现值(NPV)为优化目标建立优化模型,综合分析提出了中高含水期维持稳产的提液增油井优选策略。现场应用表明:实施提液增油策略后受效明显,主力层递减大幅缓解,改善了油田水驱开发效果。

The fluid boosting strategy and intelligent production optimization of Z oilfield in the east of South China Sea

After the Z oilfield in the eastern South China Sea was transferred to improve the injection-production well pattern, the main layers of the medium and high water-cut oilfields continued to decline, the selection of liquid extraction wells was difficult, and the difficulty of extracting and diverting fluid flow increased. According to the intelligent injection-production optimization method to provide the optimal fluid boosting strategy. The formation energy, reservoir potential and drainage optimization were analyzed one by one. The method of combining reservoir quality index and dimensionless liquid production index was innovatively presented to clarify "which wells have high potential for fluid extraction". Based on the support vector regression surrogate-assisted particle swarm optimization (SVR-PSO) production optimization algorithm, the economic net present value (NPV) was taken as the optimization objective to establish the optimization model. The optimization strategy for increasing oil production by liquid extraction was proposed. Field application results show that the effect is obvious after the implementation of liquid extraction and oil increase strategy, the decline of main layer is greatly alleviated, and the development effect of water flooding is improved.