摘要
运用SVM技术进行调剖(驱)潜力预测,保证了学习机器具有良好的泛化能力。通过对数据分类同时进行数据回归,可解决小样本的数据误差。采用LibSvm工具箱提高了调剖(驱)潜力预测的精确度,为油田调剖方案的制定及措施的实施提供了相关方法和依据。
SVM technology is used to predict the profile control potential of tertiary oil recovery,which ensures that the learning machine has good generalization ability.Through data classification and data regression at the same time,the data error of small sample can be solved.LibSvm technology is used to improve the accuracy of profile control potential prediction for tertiary oil recovery,which provides relevant methods and basis for the formulation of profile control plan and the implementation of measures.
作者
杨建雷
张津红
YANG Jian-lei;ZHANG Jin-hong(Department of Petroleum Engineering,Chengde Petroleum College,Chengde 067000,Hebei,China;Production Technology Research Institute of Dagang Oilfield,Tianjin 300280,China)
出处
《承德石油高等专科学校学报》
CAS
2019年第5期16-19,共4页
Journal of Chengde Petroleum College
关键词
SVM
三次采油
调剖
潜力预测
SVM
three oil recovery
profile control
potential prediction