شبیه سازی ژل پلاگ برای اصلاح درجای تراوایی
کلمات کلیدی:
شبیه ساز اکلیپس, ژل پلاگ, مدل سازی, اصلاح درجای تراواییچکیده
این پژوهش به بررسی عملکرد ژل پلاگ در شبیهساز اکلیپس برای انحراف آب و اصلاح تراوایی با استفاده از ژلهای سیلیکات میپردازد. هدف، ارزیابی توانایی مدلهای پلیمری موجود در شبیهسازی فرآیندهای بستن لایه دزد و انحراف آب است. با توجه به اهمیت مدیریت پایدار منابع در صنعت نفت و گاز، مطالعه از مدلهای دوبعدی برای تست حساسیت استفاده کرده و نتایج آن میتواند به بهینهسازی روشهای شبیهسازی و استراتژیهای عملیاتی کمک کند. نتیجهگیری کلی نشان میدهد اکلیپس تا حدی میتواند این فرآیندها را شبیه سازی کند.
دانلودها
مراجع
.1 Alagorni, A.H., Z.B. Yaacob, and A.H. Nour, An overview of oil production stages:
enhanced oil recovery techniques and nitrogen injection. International Journal of
Environmental Science and Development, 2015. 6(9): p. 693.
.2 Gbadamosi, A., et al., Application of polymers for chemical enhanced oil recovery:
a review. Polymers, 2022. 14(7): p. 1433.
.3 Khamees, T.K., Evaluation of the performance of different polymer gel systems as
an in-depth gel treatment using numerical simulation. 2020: Missouri University of
Science and Technology .
.4 Rozhkova, Y.A., et al., Review of microgels for enhanced oil recovery: Properties
and cases of application. Gels, 2022. 8(2): p. 112 .
.5 Leng, J., M. Wei, and B. Bai, Review of transport mechanisms and numerical
simulation studies of preformed particle gel for conformance control. Journal of
Petroleum Science and Engineering, 2021. 206: p. 109051.
.6 Chen, X., et al. Mechanistic modeling of gel microsphere surfactant displacement
for enhanced oil recovery after polymer flooding. in SPE Asia Pacific Oil and Gas
Conference and Exhibition. 2015. SPE .
.7 Kaya, O.A., I. Durgut, and S. Canbolat. Numerical Modeling of Waterflooding
Experiments in Artificially Fractured and Gel Treated Core Plugs by Embedded
Discrete Fracture Model of a Reservoir Simulation Toolbox. in SPE International
Conference and Exhibition on Formation Damage Control. 2022. SPE .
.8 Ahmed, A.A., et al., Experimental investigation and numerical simulation of
relative permeability modifiers during water shut-off. Geoenergy Science and
Engineering, 2023. 230: p. 212095.
.9 Anokwuru, V.C., Simulation of water diversion using ECLIPSE Options. 2015,
University of Stavanger, Norway .
.10 Sun, G., et al., Numerical simulation of in-depth profile control for dispersed
particle gel in heterogeneous reservoirs. Frontiers in Energy Research, 2023. 11: p.
1106191.
.11 Alfarge, D., B. Bai, and A. Almansour, Numerical simulation study to understand
the performance of RPM gels in water-shutoff treatments. Journal of Petroleum
Science and Engineering, 2018. 171: p. 818-834.
.12 Wang, J. and M. Dong, Optimum effective viscosity of polymer solution for
improving heavy oil recovery. Journal of Petroleum Science and Engineering, 2009.
67(3-4): p. 155-158 .
.13 Guo, Z., et al ,.A fast and effective method to evaluate the polymer flooding
potential for heavy oil reservoirs in Western Canada. Journal of Petroleum Science
and Engineering, 2013. 112: p. 335-340.
.14 Bai, B., J. Leng, and M. Wei, A comprehensive review of in-situ polymer gel
simulation for conformance control. Petroleum Science, 2022. 19(1): p. 189-202.
.15 Bai, B., J. Zhou, and M. Yin, A comprehensive review of polyacrylamide polymer
gels for conformance control. Petroleum exploration and development, 2015.
42 :)4(p. 525-532.
.16 Wang, J., J. Cao, and S. Yuan, Shear wave velocity prediction based on adaptive
particle swarm optimization optimized recurrent neural network. Journal of
Petroleum Science and Engineering, 2020. 194: p. 107466.
.17 Sunderam, V. and V.J. Rego, EcliPSe: A system for high performance concurrent
simulation. Software: Practice and Experience, 1991. 21(11): p. 1189-1219 .
