基于BP神经网络的油气产量历史预测

Prediction of Oil/gas History Based on Neural Network

分析了常规油田开发模型所存在的问题；探讨了应用神经网络技术进行油气产量历史预测的可行性。油田实际资料验证评价结果表明：该法模拟预测精度高，效果好，简单实用，不失为油气产量动态预测的一条新途径。

The problem of conventional oilfield production model is analyzed, and the flexibility of oil output history prediction is probed with ANN in the paper. The practical case from field data shows that the method is accurate, effective and simple to use, and a new road of dynamic prediction of oil output. 