经验关联式预测烃气驱MMP方法评价

Evaluation of empirical correlation method to forecast the hydrocarbon gas drive MMP

最小混相压力的预测是注气可行性评价中的重要工作之一。一般地说,确定原油与烃气最小混相压力主要采用实验方法。当实验存在困难时,可采用经验法。不同的经验方法其预测精度可能存在较大差别。目前文献中对这些注烃气混相驱MMP预测的精度评价较少。在比较了多种方法后,选择了几种主要的经验关联式方法及其适用范围,选取了部分国内油田的MMP实例数据,对比了各经验关联式MMP预测精度。结果表明在注烃气混相驱MMP预测方面,Firoozabadi-Aziz关联式较为实用,精度最高。

The prediction of minimum miscibility pressure is one of the important work in the feasibility evaluation of gas injection. In general, to determine the minimum miscibility pressure of crude oil and hydrocarbon gas, experimental methods are often used, which can be replaced by empirical methods in the case of difficulties. The prediction accuracy of different empirical methods may be quite different. Currently, there＇ re very few literatures concerning the forecast accuracy evaluation of the miscible hydrocarbon gas drive MMP. After comparing a variety of methods, this paper selected several major empirical correlation methods and described their application ranges. Based on the MMP instance data of part of domestic oilfields, this paper compared the accuracy of each empirical correlation prediction about MMP. The results showed that Firoozabadi-Aziz corelation was more practical and had the highest accuracy in the prediction of the miscible hydrocarbon gas drive MMP.