粒子群-支持向量机在油田开发综合经济评价中的应用  

PSO-support vector machine in comprehensive economic evaluation of oilfield development

作　　者：周默 龚勇军[2] 

机构地区：[1]中国石油伊拉克公司,北京100011 [2]中国寰球工程公司,北京100012

出　　处：《内蒙古科技大学学报》2015年第4期386-390,共5页Journal of Inner Mongolia University of Science and Technology

基　　金：国家科技支撑计划资助项目(2007BAB18B01)

摘　　要：通过建立一个可靠、合理、有效的油田开发综合评价模型来避免或消除油田开发过程中各种不合理情况的出现,是一个有效技术途径和可操作手段.本文尝试通过理论和实证分析两方面来构建适合于油田开发项目的粒子群-支持向量机油田开发综合评价模型,并以某油田为例,进行实证分析.实证研究结果表明,通过引入粒子群算法可有效减少支持向量机的计算时间,提高计算效率,使得模型的可靠性、合理性和科学性得到更好保证,同时提高模型的评价精度,具有良好的学习推广价值和评价能力.The establishment of a reliable,reasonable and effective field development comprehensive evaluation model is an effective technical way and operational measure to avoid or eliminate all kinds of unreasonable conditions in the oilfield development process.Both theoretical and empirical analysis were adopted to build an integrated assessment model suited for the oil field development project in the PSO-support vector machine oilfield development,taking a reservoir for an example to carry out the empirical analysis. The empirical results show that the introduction of particle swarm algorithm can effectively reduce the computation time SVM and improve the computational efficiency,making the model＇s reliability,rationality and scientificity better guaranteed,while improving the model＇s evaluation accuracy. It possesses a good promotional value for learning and evaluation.

关 键 词：油田开发 综合评价 开发方案 粒子群算法 支持向量机 

分 类 号：F275[经济管理—企业管理]