摘要
为建立适用于更广范围油藏的CO_(2)-原油最小混相压力MMP预测模型,以X油藏为例,运用数值模拟及室内实验的手段,分析了油藏温度、原油组成对CO_(2)-原油MMP的影响规律。基于搜集的81组CO_(2)-原油细管混相压力实验数据,利用MATLAB软件构建了1个包含油藏温度、C_(5)+相对分子质量、挥发烃(N_(2)+CH 4)摩尔分数及中间烃(CO_(2)+H_(2)S+C_(2)~C_(4))摩尔分数的CO_(2)-原油MMP预测模型。研究结果表明:1)当注入气为纯CO_(2)时,MMP与油藏温度、原油中N_(2),C_(1)和C_(5)+组分的摩尔分数成正比,与原油中C_(2)~C_(4)组分的摩尔分数成反比;2)X油藏油样在地层条件下注CO_(2)的最小混相压力为27.29 MPa,模型预测值与细管实验值的相对误差仅为0.88%;3)新模型对另外6组油样的预测值与实验值平均相对误差为4.21%,与已发表的10种模型进行对比,结果显示新模型的误差最小。该模型具有较强的预测能力和广泛的适用性,能在一定程度上指导油藏注CO_(2)的高效开发。
To develop a CO_(2)/crude oil“Minimum Miscible Pressure”(MMP)prediction model suitable for a broader range of reservoirs,X reservoir was taken as an example,and the effects of reservoir temperature and oil composition on CO_(2)/crude oil MMP were analyzed through numerical simulations and laboratory experiments.Based on 81 sets of tubule test data of CO_(2)/crude oil miscibility pressures,a CO_(2)/crude oil MMP prediction model was constructed that includes the reservoir temperature,the relative molecular weight of C_(5)+,and the mole fractions of volatile hydrocarbons(N_(2)+CH 4)and intermediate hydrocarbons(CO_(2)+H_(2)S+C_(2)~C_(4)).The results showed that:1)MMP was positively correlated with reservoir temperature and the mole fractions of N_(2),C,and C_(5)+components in the crude oil while negatively correlated with the mole fraction of C_(2)~C_(4) components in the crude oil when the injected gas was pure CO_(2).2)The MMP for CO_(2)injection in X reservoir was 27.29 MPa under formation conditions,with a relative error of only 0.88%between the predicted and experimental values.3)For the other six sets of oil samples,the average relative error between experimental values and predicted values by the new model by the new model was 4.21%.Compared to 10 published models,this model had the smallest error.The model demonstrates strong predictive power and broad applicability and can effectively guide the efficient development of CO_(2)injection in reservoirs.
作者
梁世杰
侯大力
孙明宇
赵瑞明
任泓宇
谭涛
LIANG Shijie;HOU Dali;SUN Mingyu;ZHAO Ruiming;REN Hongyu;TAN Tao(College of Energy and Modern Shale Gas Industry,Chengdu University of Technology,Chengdu 610059,China;National Key Laboratory of Reservoir Geology and Development Engineering,Chengdu University of Technology,Chengdu 610059,China;National Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing 102249,China;Laboratory Testing Technology Center,Northwest Oilfield Company,SINOPEC,Urumqi 830011,China;SINOPEC Key Laboratory of Enhanced Oil Recovery in Fracture-Vuggy Reservoirs,Urumqi 830011,China)
出处
《非常规油气》
2025年第3期106-113,共8页
Unconventional Oil & Gas
基金
国家重点研发计划课题项目“大型油气藏CO_(2)压裂埋存全流程关键技术指标体系及标准化”(2023YFF0614102)。
关键词
油藏
最小混相压力
影响因素分析
细管实验
预测模型
oil reservoir
MMP
analysis of influencing factor
tubule experiment
prediction model
