摘要
油藏动态实时生产优化常采用伴随法求解梯度,但计算过程异常复杂,很难得到广泛应用。首次将蒙特卡洛梯度逼近(MCGA)方法引入到油藏生产优化中,该方法计算简单、求解过程不受模拟器的限制,且所得梯度的期望值为目标函数的真实梯度。结合油藏数值模拟技术,在历史拟合基础上应用该方法对某油田单元进行了油水井生产参数(产液速度和注入速度)的优化,结果显示:优化后的生产调控制度有效地改善了水驱开发效果,相比优化前累产油增幅达60%以上,达到了降水增油的目的。
The adjoint-based methods were mainly used for gradient calculation in reservoir real-time production optimization.But its calculation process was complicated,it was difficult for widely using it.The Monte Carlo Gradient Algorithm(MCGA) was firstly introduced into reservoir production optimization.The MCGA was fairly simple,the solution process was not restricted by reservoir simulator and the expected value of estimated gradient was the true gradient of the objective function.In combination with numerical simulation technology,the MCGA algorithm is applied for optimizing the production parameters of oil-gas wells(i.e.,liquid production rate of producers and injection rate of injectors) in a unit of an oilfield based on history match.The results indicates that the optimal control strategies significantly improve the effect of waterflooding development with cumulative oil production increase of 60% after optimization,which achieves the goal of increasing oil production with water inhibition.
出处
《石油天然气学报》
CAS
CSCD
2012年第6期132-136,169,共5页
Journal of Oil and Gas Technology
基金
国家自然科学基金项目(61004095F030202)
关键词
蒙特卡洛法
梯度逼近法
生产优化
最优控制
数值模拟
Monte Carlo
gradient algorithm
production optimization
optimal control
numerical simulation
