CO2 huff-n-puff process to enhance heavy oil recovery and CO2 storage: An integration study

Energy ◽  
2022 ◽  
Vol 239 ◽  
pp. 122003
Author(s):  
Xiang Zhou ◽  
Xiuluan Li ◽  
Dehuang Shen ◽  
Lanxiang Shi ◽  
Zhien Zhang ◽  
...  
Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5735
Author(s):  
Ali Telmadarreie ◽  
Japan J Trivedi

Enhanced oil recovery (EOR) from heavy oil reservoirs is challenging. High oil viscosity, high mobility ratio, inadequate sweep, and reservoir heterogeneity adds more challenges and severe difficulties during any EOR method. Foam injection showed potential as an EOR method for challenging and heterogeneous reservoirs containing light oil. However, the foams and especially polymer enhanced foams (PEF) for heavy oil recovery have been less studied. This study aims to evaluate the performance of CO2 foam and CO2 PEF for heavy oil recovery and CO2 storage by analyzing flow through porous media pressure profile, oil recovery, and CO2 gas production. Foam bulk stability tests showed higher stability of PEF compared to that of surfactant-based foam both in the absence and presence of heavy crude oil. The addition of polymer to surfactant-based foam significantly improved its dynamic stability during foam flow experiments. CO2 PEF propagated faster with higher apparent viscosity and resulted in more oil recovery compared to that of CO2 foam injection. The visual observation of glass column demonstrated stable frontal displacement and higher sweep efficiency of PEF compared to that of conventional foam. In the fractured rock sample, additional heavy oil recovery was obtained by liquid diversion into the matrix area rather than gas diversion. Aside from oil production, the higher stability of PEF resulted in more gas storage compared to conventional foam. This study shows that CO2 PEF could significantly improve heavy oil recovery and CO2 storage.


2021 ◽  
Author(s):  
Xiang Zhou ◽  
Yongsheng Tan ◽  
Qi Jiang

<p>In this study, in order to enhance heavy oil recovery in the heavy oil reservoir with a high-water-cut after water flooding process, experimental and numerical simulation studies are conducted. In the experimental studies, firstly, the properties of the heavy oil-CO2 system were measured under different saturation pressures at the reservoir temperature. Secondly, to mimic the high-water-cut condition in the real reservoir, water flooding process was conducted for each core; then four long core experiments insist of one CO2 huff `n` puff process and three CO2 flooding processes were implemented. The CO2 huff `n` puff process is conducted to compare the production performance with that in the CO2 flooding process to optimize the method. Regarding the CO2 flooding process, different gas (pure CO2, flue gas) and different production categories (constant production pressure, pressure depletion) were applied to study the heavy oil production performance in the heavy oil reservoir with high-water-cut. The experimental results indicate that, the CO2 flooding coupling with pressure depletion process is the best choice to reduce the water-cut and enhance the heavy oil recovery, which is 41.84% of the original oil in place and the water-cut reduced to lower than 70%. In the numerical simulation studies, the WinProp module in CMG is applied to simulate the properties of the heavy oil-CO2 system, which is generated by recombining CO2 into heavy oil, and high agreement simulation results were obtained. Then the results of the optimized experiment were history matched using GEM module. Finally, the upscaling studied was conducted. The CO2 flooding processes are carried out in the studied reservoir to maximum the heavy oil recovery factor. Moreover, the CO2 storage ratio is studied using GEM model.</p>


RSC Advances ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 1750-1761
Author(s):  
M. M. Abdelhamid ◽  
S. A. Rizk ◽  
M. A. Betiha ◽  
S. M. Desouky ◽  
A. M. Alsabagh

This study focuses on preparing a new family of organometallic surfactants based on five ion complexes, namely Co2+, Ni2+, Cu2+, Fe3+, and Mn2+.


2021 ◽  
Vol 332 ◽  
pp. 115916
Author(s):  
Tongyu Zhu ◽  
Wanli Kang ◽  
Hongbin Yang ◽  
Zhe Li ◽  
Tongyu Wang ◽  
...  

2020 ◽  
Vol 89 ◽  
pp. 273-279
Author(s):  
Tongyu Zhu ◽  
Hongbin Yang ◽  
Haizhuang Jiang ◽  
Xin Kang ◽  
Menglan Li ◽  
...  

2020 ◽  
Vol 186 ◽  
pp. 106702 ◽  
Author(s):  
Olalekan S. Alade ◽  
Mohamed Hamdy ◽  
Mohamed Mahmoud ◽  
Dhafer A. Al Shehri ◽  
Esmail Mokheimer ◽  
...  

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