@article{Li2025, 
author = {Jinghong Li and Chuanzhi Cui and Junkang Wang and Yueru Zhang and Guoqiang Li and Youquan Li and Hongbo Li and Fengrui Han},
title = {Determining CO2 front in CO2-EOR using a well-testing method},
year = {2025},
journal = {Energy Geoscience},
volume = {6},
number = {2},
pages = {100385},
keywords = {CO2-EOR, Well-testing analysis, CO2 zone front, Mixing zone front, Numerical simulation},
url = {https://www.sciopen.com/article/10.1016/j.engeos.2025.100385},
doi = {10.1016/j.engeos.2025.100385},
abstract = {CO2 flooding is a widely recognized method for enhanced oil recovery (EOR). This study aims to develop an accurate prediction method for determining the location and migration pathway of CO2 front, which plays an essential role in designing effective CO2 injection schemes and optimizing production strategies. Given the challenges of directly monitoring CO2 front movement in subsurface reservoirs, numerical well testing serves as an effective tool for indirectly inferring the location and migration characteristics of the CO2 front. This study established a numerical well-testing model based on a compositional framework to characterize interactions among multiple components during CO2 flooding. The methodology used in this model involves generating well-testing curves of CO2 flooding and then determining their flow stages based on CO2 distribution within reservoirs. Accordingly, a new well-testing analysis approach was proposed to determine the CO2 zone front and mixing zone front. This approach was applied to a pilot study of a practical oilfield, where it effectively predicted the positions of both fronts. The findings of this study reveal that the CO2 zone front and the mixing zone front correspond to the beginning of the first horizontal segment and the endpoint of the upward segment in the pressure derivative curve, respectively. This study introduces a cost-effective and time-efficient method for CO2 front monitoring, addressing the challenges of high costs and prolonged durations typically associated with CO2-EOR operations.}
}