BP网络方法在油田措施规划中的应用

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。以吨油措施的成本最低为为目标函数，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 application of BP network to oil field measure program

During the later period of oilfield development some measures must be taken in order to stabilize the oil production and to control the water cut. The conventional method of programs of measures contains some error. Based on the BP network, this paper presents a new model which establishes the relationship among oil production, water cut and measures. This model can predict the contribution of the measures to the oil field. Base on the lowest cost per ton of oil production as the objective function, the optimal programming model is presented in this paper. This model can realize the optimal disposition of measures by Monte Carlo stochastic simulation method. This model has been applied to Cunhua oil field. The applied result shows that this method is effective and reliable.