预测烃气驱替原油最低混相压力的优化模型  

Prediction Model of Minimum Miscible Pressure for Hydrocarbon Gas Flooding

作　　者：孙旭 罗睿乔 SUN Xu;LUO Ruiqiao(CNOOC Deepwater Development Limited,Shenzhen Guangdong 518000,China)

机构地区：[1]中海石油深海开发有限公司,广东深圳518000

出　　处：《当代化工》2025年第2期406-411,416,共7页Contemporary Chemical Industry

基　　金：中海石油(中国)有限公司科技项目(项目编号:CNOOC-KJ 135 ZDXM 37 SZ)。

摘　　要：目前确定最低混相压力的方法有实验测定法和理论计算法,2种方法各有优点和缺点,根据需求不同可以选择不同的方法。在分析烃气-地层流体体系最低混相压力影响因素及7组细管实验数据的基础上,运用灰色关联分析计算了各因素对烃气-地层油体系最低混相压力影响的重要程度,并利用Matlab(矩阵实验室)软件回归拟合了关于油藏温度、原油中中间烃(CO_(2)+C_(2)~C_(6))的摩尔分数、注入气中挥发烃(CH_(4)+N_(2))的摩尔分数、注入气中中间烃(C_(2)~C_(4))的相对分子质量的烃气-地层油体系最低混相压力预测模型,拟合的相关系数达0.963 8,能较准确地估计最低混相压力。At present,there are two methods to determine the minimum miscible pressure:experimental measurement method and theoretical calculation method.The two methods have their advantages and disadvantages,and different methods can be selected according to different needs.Based on the analysis of the influencing factors of the minimum miscible pressure of hydrocarbon gas-formation fluid system and 7 sets of thin tube experiment data,the importance of each factor's influence on the minimum miscible pressure of hydrocarbon gas-formation oil system was calculated by using grey correlation analysis.The minimum miscible pressure prediction model of hydrocarbon gas-formation oil system was fitted by using Matlab (Matrix Laboratory) software,which was related to reservoir temperature,mole fraction of intermediate hydrocarbon (CO_(2)+C_(2)~C_6) in crude oil,mole fraction of volatile hydrocarbon (CH_(4)+N_(2)) in injected gas,and relative molecular weight of intermediate hydrocarbon (C_(2)~C_(4)) in injected gas.The fitted correlation coefficient was 0.9638,which could accurately estimate the minimum miscible pressure.

关 键 词：烃气驱 最低混相压力 灰色关联分析 预测模型 细管实验 

分 类 号：TQ012[化学工程]