摘要
提出利用偏最小二乘回归方法对传统的样板法进行改进,这种改进的样板法称为FPLS法。给出了FPLS方法的主要建模步骤。利用FPLS法构造出的模糊模式库比传统的样板法更加优越。结合塔里木油田的实际问题,给出一种能有效提高以热解参数为特性指标的油气层识别精度的模型。
A regression method by least square is put forward to improve the traditional template method The method of improved template is known as FPLS The major modeling procedures are given for FPLS A fuzzy model database established by using FPLS is more superior than the traditional template method In combination with the practice in Tarim Oilfield, a model is introduced for effectively improving the accuracy of oil and gas payzone recognition based on pyrolytic parameters used as characteristic indications
出处
《石油天然气学报》
CAS
CSCD
北大核心
2005年第3期321-323,共3页
Journal of Oil and Gas Technology
基金
国家自然科学基金项目(10471083)
福建省教育厅科技项目(JA02241)。
关键词
模糊模式
样板法
偏最小二乘回归
油气层识别
fuzzy model
template method
regression by least square
oil and gas payzone recognition
