交替条件期望变换确定油气最小混相压力新方法

通过统计分析国内外油田原油成因、性质，并针对我国陆相沉积原油特点，选取了与MMP直接相关的两方面因素：油藏温度、原油组分（C＋N2、中间组分、MWC5＋），并编制交替条件期望变换程序，对数据样本进行多元非线性回归，得到具有统计意义的纯CO2/Oil-MMP关联式。结果表明：经国内外数据样本对比发现，适应我国原油性质的纯CO2注入气MMP关联式与实验测试值吻合较好，具有较高的精度和较好的适应性，满足CO2混相驱工程需要。并对国内样本关联式、国外样本关联式、综合关联式进行了误差对比分析。对比结果证明：ACE方法通过不断的增加数据样本可逐步提高该关联式的精度，为我国陆相沉积油藏实施CO2混相驱矿场试验提供了技术支持。该国内样本关联式在对国外样本的预测上也具有一定的参考价值。

The new method to determine the minimum miscibility pressure of oil and gas by using alternating conditional expectation transform

Based on statistic analysis of the causes and nature of domestic and foreign crude oil and aiming at the characteristics of continental deposits oil in our country, this paper selected the two factors of reservoir temperature and oil component （C1 ＋ N2, inter- mediate component, MWC5＋）, which directly related with MMP （abbreviation for minimum miscibility pressure）, and compiled alter- nating conditional expectation transformation process. Through the multivariate nonlinear regression of data sample, pure COJ Oil-MMP correlation equation of statistical significance was gained. Through the comparison between domestic data and foreign da- ta, it was found that the correlation equation of pure CO2 gas injection suitable to our country matched well with experimental test results and had highly between accuracy and better adaptability, meeting the requirements of CO2 miscible flooding engineering. This paper also made comparison and analysis of the errors of domestic sample correlation equation, foreign sample correlation equation and integrated sample correlation equation. The results showed that accuracy of the correlation equation could be gradual- ly increased by continuously adding data samples, providing technical support for carrying out CO2 miscible flooding tests in domes- tic deposits reservoirs. The domestic sample correlation equation also has certain reference value for foreign sample prediction.