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油井产量变化的影响因素很多,使产量预测变得十分困难。以塔里木轮南油田的两口典型油井的产量预测为例,运用Neurosolutions类神经网络软件带延迟时间序列的GA-BP神经网络对油井产量进行了拟合和预测,结果表明该模型具有较好的适应性,能够方便快速的应用于轮南油田的油井产量预测。
There are many influencing factors for oil well production changes, making the production forecast very difficult. Taking the production prediction of two typical wells in Lunnan Oilfield of Tarim Basin as an example, the output of the well is fitted and predicted using the GA-BP neural network with the delay time series of Neurosolutions neural network software. The results show that the model has good adaptability It is convenient and quick to apply oil well production prediction in Lunnan Oilfield.