A prediction model for the minimum miscibility pressure of the CO2 -crude oil system

doi:10.7623/syxb201202013

Editorial office of ACTA PETROLEI SINICA ›› 2012, Vol. 33 ›› Issue (2): 274-277.DOI: 10.7623/syxb201202013

• Petroleum Exploration • Previous Articles Next Articles

A prediction model for the minimum miscibility pressure of the CO₂-crude oil system

JU Binshan 1　QIN Jishun 2　LI Zhiping 1　CHEN Xinglong 2

Received:2011-08-14 Revised:2011-11-08 Online:2012-03-25 Published:2012-05-17

二氧化碳-原油体系最小混相压力预测模型

鞠斌山 1　秦积舜 2　李治平 1　陈兴隆 2

1　中国地质大学海相储层演化与油气富集机理教育部重点实验室　北京　100083；2中国石油勘探开发研究院　北京　100083

通讯作者: 鞠斌山
作者简介:鞠斌山，男,1970年5月生，1996年毕业于中国石油大学（华东），现为中国地质大学(北京)副教授，主要从事油气田开发工程方面的教学和研究工作。
基金资助:
国家重大科技专项（2008ZX05016-004,2011ZX05009-006,2011ZX05009-002)和中央高校基本科研业务费资助。

Abstract

Abstract:

The minimum miscibility pressure (MMP) of the CO2-crude oil system is one of the most critical parameters for the CO₂flooding 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, N₂and 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.

Key words: CO₂ flooding, minimum miscibility pressure (MMP), prediction model, regression coefficients, oil sample

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。

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

JU Binshan　QIN Jishun　LI Zhiping　CHEN Xinglong. A prediction model for the minimum miscibility pressure of the CO₂-crude oil system[J]. Editorial office of ACTA PETROLEI SINICA, 2012, 33(2): 274-277.

鞠斌山　秦积舜　李治平　陈兴隆. 二氧化碳-原油体系最小混相压力预测模型[J]. 石油学报, 2012, 33(2): 274-277.

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A prediction model for the minimum miscibility pressure of the CO₂-crude oil system

二氧化碳-原油体系最小混相压力预测模型

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