神经网络在固井质量预测中的应用研究

Applications of Neural Network in Prediction of Cementing Quality

分析了固井施工及固井质量的重要性 ,提出一种较先进的预测固井质量的方法——神经网络算法。该方法在大庆油田 18口井的应用结果表明 ,其预测结果的准确率达 93.8% ,为提高固井质量提供了一条新途径。

A new advanced method of predicting cementing quality, neural network method, is put forward. Applications of this method in 18 wells in Daqing oilfield show that the accuracy rate is 93.8% between the predicting results and the practical cement bonding index.