CAJ | 학술논문

目前为止，现有的油田开发指标预测方法难以反映实际存在的时间累积效应对该指标预测的影响。因此，为提高油田开发指标预测的准确度，本文提出基于径向基过程神经元网络的油田开发动态指标预测模型，并将其应用到实际油田开发动态指标的预测中。实例分析结果表明，本文提出的径向基过程神经元网络的油田开发动态指标的预测方法精度高、速度快，是预测油田开发指标的一种较实用的方法。
목전위지，현유적유전개발지표예측방법난이반영실제존재적시간루적효응대해지표예측적영향。인차，위제고유전개발지표예측적준학도，본문제출기우경향기과정신경원망락적유전개발동태지표예측모형，병장기응용도실제유전개발동태지표적예측중。실례분석결과표명，본문제출적경향기과정신경원망락적유전개발동태지표적예측방법정도고、속도쾌，시예측유전개발지표적일충교실용적방법。
Because the existing methods are difficult to reflect the effect of actual existence of time accumulation on oil-field development indicators prediction,so in order to improve the forecast accuracy,this paper presented a model of oilfield development indicators prediction based on radial basis process neural network,which was applied to the actual dynamic oil-field development indicators prediction.Example analysis shows that the proposed method has high precision and fast speed. So it is a more practical method for prediction of development indicators of oilfield.