In recent years, the world's crude-oil production has stopped increasing. Many oilfields have entered the high water-cut stage. Therefore, it is very important to reduce the energy consumption of high water-cut oilfield under limited oil production. In view of the lack of research on the overall energy consumption of the entire oilfield, three subsystems of injection, reservoir, and production are coupled through the node analysis method. The integrated energy-consumption calculation model of the injection–reservoir–production (I–R–P) coupling system is established. Finally, in order to optimize the energy consumption of the oilfield, the production scheme is optimized by combining Particle Swarm Optimization algorithm, I–R–P integration system, and reservoir numerical simulation. The optimal injection–production ratio is 1.088 in the pressure adjustment stage, the optimal target formation pressure is 15.8 MPa, and the optimal energy consumption per ton of oil is 280.15 kW h. Compared with the initial production scheme, the optimal energy consumption of I–R–P integrated system is reduced by more than 8%, which can effectively achieve the purpose of energy savings and consumption reduction. The optimization scheme has been applied in the actual field, the annual power savings could reach 6.23 × 10⁶ kW h.

近年来，世界原油产量已停止增长。许多油田已进入高含水阶段。因此，在有限的石油产量下降低高含水油田的能源消耗非常重要。针对缺乏对整个油田整体能耗的研究，通过节点分析的方法将注入、储层、生产三个子系统耦合起来。建立了注-储-采(I-R-P)耦合系统综合能耗计算模型。最后，为了优化油田能源消耗，结合粒子群优化算法、I-R-P集成系统和油藏数值模拟优化生产方案。最佳注采比为1。088在调压阶段，最优目标地层压力为15.8 MPa，最优吨油能耗为280.15 kW·h。与初始生产方案相比，I-R-P一体化系统优化能耗降低8%以上，可有效达到节能降耗的目的。优化方案已应用于实际现场，年节电量可达6.23×10⁶ 千瓦时。