基于分数阶微分模拟模型的油田措施增产预测

为了解决多因素影响下油田措施增产预测问题,通过研究分数阶理论、微分模拟理论与智能优化理论建立了参数优化的分数阶微分模拟预测模型。模型克服了措施数据的非线性性、多因素性与适用性不强的缺陷,综合考虑了不同措施对应不同因素下增产效果的预测。通过与其他方法对比表明,新模型预测效果优于其他方法。可见参数优化的分数阶微分模拟预测模型可较好地应用于油田措施增产预测。

Prediction of Measure Increased Production Based on Fractional Differential Simulation Model

In order to solve the problem that predict the measure increase production under the influence of multiple factors. A fractional order differential simulation prediction model was established based on fractional - order theory, grey model theory and intelligent optimization theory. The model overcomes the defects of the measure data non-linearity, multi-factor and poor applicability. The model can predict measure increase production for different well stimulation. The results show that the new model predictive effect is superior to other methods through practical example compared. It is concluded that the prediction model is suitable for the prediction of oilfield measures to increase production.