摘要
二氧化碳-原油体系的最小混相压力(CCMMP)是CO2驱油方案设计的关键参数之一。为了提高CCMMP的预测精度,利用实验测定的46个二氧化碳-原油体系最小混相压力数据,选取油藏温度、原油中的挥发组分、中间组分、C5+、注入二氧化碳中所含的甲烷、乙烷-丁烷、氮气和硫化氢的含量8个因素,运用统计与回归理论建立了8参数的CCMMP预测模型。并将本模型和已经发表的9种方法预测的46个油样的最小混相压力结果进行了对比,结果表明本模型的预测精度大幅度提高。利用该模型对吉林油田CO2驱油试验区的5口井油样的CCMMP进行了预测,并与实验结果进行了对比,相对误差范围0.05%～3.39%,进一步验证了本模型的可靠性。
The minimum miscibility pressure（MMP） of the CO2-crude oil system is one of the most critical parameters for the CO2 flooding design in reservoir development.In order to improve prediction accuracy,an eight-parameter prediction model for the MMP of the CO2-crude oil system,which utilized 46 experimental MMP data,was established through the statistics and regression of 8 parameters,such as reservoir temperature,volatile components,intermediate components and C5＋ in oils,and methane,ethane-butane,N2 and H2S contents in the injected CO2.A comparison was made between MMP of the CO2-crude oil system for 46 oil samples predicted by the presented model and the calculated results of these samples derived from the other 9 published MMP prediction methods.The result shows that the accuracy of MMP predicted by the presented model is greatly improved.Moreover,this model was applied to the prediction of MMP for oil samples from 5 wells in the CO2 flooding trial zone of the Jilin Oilfield,and the comparison between the predicted MMP with the present model and the experimental results showed that their relative errors were in a range of 0.05%~3.39%,which confirmed the reliability of the presented model.
出处
《石油学报》
EI
CAS
CSCD
北大核心
2012年第2期274-277,共4页
Acta Petrolei Sinica
基金
国家重大科技专项(2008ZX05016-004
2011ZX05009-006
2011ZX05009-002)
中央高校基本科研业务费资助
关键词
二氧化碳驱油
最小混相压力
预测模型
回归系数
油样
CO2 flooding
minimum miscibility pressure（MMP）
prediction model
regression coefficients
oil sample
