三次采油指标预测及开发最优接替模型研究

Prediction of Tertiary Oil Recovery Indexes and Optimization Models of the Following Development of Blocks

在进行三次采油 (聚合物驱、三元复合驱 )中 ,由于存在“分区块开发”、“层位上返”、“产量接替”现象 ,而各个区块、层位的地层条件、开发现状和产能现状不相同 ,投资和成本参数也不相同 ,不同的投产顺序则整体的效益不同 ,为了优化决策各个区块的上产顺序 ,实现产能最优接替 ,提出一种简便预测开采指标“三因素统计预测法”,研究了三次采油工业化过程中多区块产能接替的最优顺序问题和应用网络流规划方法 ,建立了“成本最小”和“产量最大”两类动态优化模型 ,并进行了实例计算 .该模型可以辅助规划人员及领导层对多区块的最优开发顺序进行决策 .

In tertiary oil recovery, blocks are generally produced one after another. The different sequences of the production of the blocks will result to different economic benefit because the formation condition and the existing development and productivity conditions of every block are different. Therefore, it is a urgent problem how to optimize the sequences. The authors established two dynamic optimization models by using the planning law of network flow. One achieves the aim of minimum investment cost, and the other achieves the aim of maximum output. The models can help technicians to make decisions. An example in Daqing Oilfield shows that investment cost of 3%～5% can be saved if the producing time and sequence of 8 blocks are arranged according to ones optimized by the ' minimum investment cost' model.