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提出用BP网络方法建立油田产量、含水等开发指标与各种措施的定量时变关系模型 ,用于预测各种措施对油田开发效果的贡献。以吨油措施成本最低为目标函数 ,以产油量、产水量和措施控制总量为约束条件 ,建立措施规划的优化模型 ,在此基础之上利用Monte carlo随机模拟方法 ,实现措施的最佳配置。根据纯化油田的资料建立了纯化油田的指标预测模型和措施规划模型 ,并编制了该油田的“十五”措施规划。应用结果表明 ,本方法实用性强 ,结果可靠性高。表 1参 4(冯其红摘 )
The quantitative time-varying relationship model between the development indexes of oilfields and water and various measures is proposed by using BP network method to predict the contribution of various measures to the development effect of oilfields. Taking the lowest cost of t o oil as the objective function and taking the total amount of oil production, water production and total control as constraints, an optimization model of measure planning is established. Based on this, a Monte Carlo stochastic simulation method is used to achieve the best measure Configuration. According to the data of the purified oilfield, the index prediction model and the planning model of the purified oilfield are established, and the “10th Five-Year” plan of the oilfield is prepared. The application results show that this method is practical and reliable. Table 1 Senate 4 (Feng Qi Hong Pick)