哈尔滨商业大学学报（自然科学版）2026，Vol.42Issue(2)：233-239,7.
基于多元统计的反相破乳剂构效分析
Constituent-activity analysis of reverse demulsifiers based on multivariate statistics
摘要
Abstract
The oil-water separation performance and macroscopic characteristics of 10 typical reverse demulsifiers were systematically evaluated by multivariate statistical methods.By comprehensively applying physicochemical characterization and correlation analysis,grey relational analysis,and principal component analysis,the structure-activity relationship between the macroscopic characteristic parameters of reverse demulsifiers and their oil removal efficiency was established.The results indicated that different reverse demulsifiers exhibited significantly different demulsification efficiencies,with viscosity and the content of aliphatic hydrocarbons being the key control factors.The comparative experiments of oil removal by reverse demulsifiers with controlled aliphatic hydrocarbon content confirmed that an increase in the content of aliphatic hydrocarbons could significantly promote the oil removal rate.This paper provided a design basis for the targeted synthesis of highly efficient reverse demulsifiers and offered significant engineering implications for optimizing crude oil extraction liquid treatment processes.关键词
油田采出液/油水分离/反相破乳剂/灰色关联度/主成分分析Key words
oilfield produced fluid/oil-water separation/reverse-phase demulsifier/grey correlation degree/principal component analysis分类
资源环境引用本文复制引用
李俊仪,李薛,尹子超,魏旭,郑重,王景平,彭柳,田晨浩,郝昊天..基于多元统计的反相破乳剂构效分析[J].哈尔滨商业大学学报（自然科学版）,2026,42(2):233-239,7.基金项目
国家自然科学基金项目(22206199) （22206199）
