最小二乘支持向量机在水平井产能预测中的应用

Least squares support vector machine in the horizontal well productivity prediction

随着油气勘探开发技术的发展,水平井以其泄油面积大、油气流动阻力小的突出优点越来越受到人们的重视。通过对水平井的产能预测,可以预测该水平井的开发效益及经济回报,因此对水平井的产能研究变得尤为重要。鉴于水平井产能影响因素的复杂性,本文运用最小二乘支持向量机技术,对多因素非线性影响下的水平井产能进行预测,并通过实例说明该方法的实用性。

With the oil and gas exploration technology developing,horizontal wells with its large area of oil spills and little gas flow resistance,is more and more important.By predicting the production forecast,we can predict the development of horizontal wells in the effectiveness and economic returns,so the study of horizontal well production capacity has become especially important.In view of factors that can affect the productivity of horizontal well,Page has established least squares support vector machine model under the influence of non-linear multi-factor productivity of horizontal well to predict,and through examples of the method＇s practicality.