油气藏评价与开发 >
2022 , Vol. 12 >Issue 5: 748 - 753
DOI: https://doi.org/10.13809/j.cnki.cn32-1825/te.2022.05.006
CO2驱最小混相压力预测模型研究
收稿日期: 2022-04-29
网络出版日期: 2022-09-27
基金资助
国家自然科学基金项目“超低渗透油藏CO2强化采油过程中多孔介质相态及微观渗流机理研究”(51974268)
Prediction model of minimum miscible pressure in CO2 flooding
Received date: 2022-04-29
Online published: 2022-09-27
潘毅 , 赵秋霞 , 孙雷 , 刘江 , 汪涛 , 郭德明 . CO2驱最小混相压力预测模型研究[J]. 油气藏评价与开发, 2022 , 12(5) : 748 -753 . DOI: 10.13809/j.cnki.cn32-1825/te.2022.05.006
Based on the analysis of the factors influencing the minimum miscibility pressure in CO2 flooding and 36 groups of tubule experimental data, the correlation degree of each factor influencing the minimum miscibility pressure in CO2 flooding of crude oil is calculated by the grey correlation method. The prediction model of minimum miscible pressure in CO2 flooding for crude oil is fitted by the MATLAB (Matrix Laboratory) software, which is related to the reservoir temperature, relative molecular weight of C5+, volatile hydrocarbon component (N2+CH4) content and intermediate hydrocarbon component (CO2+H2S+C2—C4) content. The fitting correlation coefficient reaches 0.900 9. The data of the minimum miscible pressure test of three wells in an oilfield are used to verify the new prediction model. The average error of calculation is 3.57 %, which can be used to guide the field development of the reservoirs.
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