Petroleum Reservoir Evaluation and Development ›› 2022, Vol. 12 ›› Issue (5): 748-753.doi: 10.13809/j.cnki.cn32-1825/te.2022.05.006

• Methodological and Theory • Previous Articles     Next Articles

Prediction model of minimum miscible pressure in CO2 flooding

PAN Yi(),ZHAO Qiuxia(),SUN Lei,LIU Jiang,WANG Tao,GUO Deming   

  1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China
  • Received:2022-04-29 Online:2022-10-26 Published:2022-09-27
  • Contact: ZHAO Qiuxia E-mail:panyiswpu@126.com;2698039544@qq.com

Abstract:

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.

Key words: CO2 flooding, minimum miscible pressure, grey correlation method, prediction model, tubule experiment

CLC Number: 

  • TE341