杏北油田污水系统仿真优化技术研究及应用

Research and Application of Simulating Optimization Technology for Sewage System in Xingbei Oilfield

目前,杏北油田处于高含水开发阶段,含油污水处理量达32×10^4 m^3/d,全厂水量平衡、运行调度依靠人为预测完成,在开发注入水质调整、站库停产改造等工况变化时,容易造成污水处理站负荷率不均衡,污水处理效果不达标等问题。为此,开展油田污水系统仿真优化技术研究,以油田已建调水管网为模型基础,以站库含聚浓度、负荷率界限等为约束条件,以系统运行能耗最低为计算目标,实现了污水系统仿真优化。通过现场应用,水质达标率提高2.1%,总能耗降低15%;污水系统在运行管理中,提供各类工况下的系统优化运行决策方案,辅助智能生产管理;在规划设计中,可以提出建设方案优化和区域能力布局优化的决策建议,有助于降本增效。

At present,Xingbei Oilfield is in the stage of high water cut development,the treatment capacity of oily sewage is 32×10^4 m^3/d.The water balance and operation dispatching of the whole plant depend on artificial prediction.During the changes of working conditions,such as the adjustment of injected water quality and the transformation of the station,it is easy to cause the imbalance of the load rate of the sewage treatment station and the substandard sewage treatment effect.Therefore,the simulating optimization technology of the oilfield sewage system is studied.The model is based on the established water diversion network of the oilfield,the concentration of polymer and the limit of load rate are the constraints,the calculation goal is to minimize the energy consumption of the system,and the simulating optimization of the sewage system is realized.Through field application,the water qualification rate increases by 2.1%,and the total energy consumption decreases by 15%.In operation and management,the sewage system provides the decision-making scheme of system optimal operation under various working conditions and helps the intelligent production management.For the planning and design,the decision-making suggestions on the optimization of construction scheme and regional capacity layout can be put forward,which is helpful to reduce cost and increase efficiency.