With the increasing energy requirement and decreasing onshore reserves, offshore oil production has attracted increasing attention. A major challenge in offshore oil production is to minimize both the operational costs and risks; one of the major risks is anomalies in the flows. However, optimization methods to simultaneously consider well operation and flow assurance in operation planning have not been explored. In this paper, an integrated planning problem both considering well operation and flow assurance is reported. In particular, a multi-period mixed integer nonlinear programming (MINLP) model was proposed to minimize the total operation cost, taking into account of well production state, polymer flooding, energy consumption, platform inventory and flow assurance. By solving this integrated model, each well's working state, flow rates and chemicals injection rates can be optimally determined. The proposed model was applied to a case originated from a real-world offshore oil site and the results illustrate the effectiveness.

随着能源需求的增加和陆上储备的减少，近海石油生产引起了越来越多的关注。海上石油生产的主要挑战是将运营成本和风险降至最低；主要风险之一是流量异常。但是，尚未探索在作业计划中同时考虑井作业和流量保证的优化方法。在本文中，报告了一个综合规划问题，该问题同时考虑了井的运营和流量保证。特别是，考虑到井的生产状态，聚合物驱，能源消耗，平台库存和流量保证，提出了一种多周期混合整数非线性规划（MINLP）模型以使总运营成本最小化。通过解决这个集成模型，每个井的工作状态，流速和化学品注入速率可以最佳确定。所提出的模型被应用于一个来自现实世界的海上石油站点的案例，结果表明了有效性。