Optimum allocation of carbon dioxide and nitrogen gas between wells of an oil field in the artificial gas lift process

Document Type : Original Research

Authors

1 Petroleum Engineering Department, Faculty of Chemical Engineering, Tarbiat Modares University, Tehran, Iran

2 Mechanical and Aeronautical Engineering Department, Wallace H. Coulter School of Engineering, Clarkson University

Abstract
Research topic:

Gas lift is an efficient artificial lift strategy, routinely used to overcome the low productivity of the wells. In this research, the possibility of using two gases, carbon dioxide and nitrogen instead of natural gas, in the gas lifting process is investigated and compared. To maximize oil production, the optimization of the allocation of the limited amount of gas between 10 wells in the Iranian offshore brown oil field is performed.

Research Method:

In this research, all the wells were modeled by PROSPER software. First, all 10 wells data of an Iranian offshore oil reservoir were collected. Secondly, their model has been built and after validation, a simulation of the artificial gas lift was performed using carbon dioxide and nitrogen gas separately, then, the Gas Lift Performance Curve (GLPC) of all the wells are fitted with the appropriate experimental model in MATLAB software. In the following, using Solver Excel, the allocation optimization with a limited amount of gas was performed using two different gases.

Main results:

According to the results obtained from the optimization, for a certain amount of available gas which is 15 MMSCFD, the total Oil production in the case of nitrogen gas injection is 3564 STBD more than carbon dioxide gas injection. Also, in all cases, due to the production potential capacity of well No. 8, the most amount of injected gas is allocated to it. The comparison of the two types of injected gas shows that the quantity of oil produced using nitrogen is 3424 and 3302 STBD (28 % and 24 %) greater than carbon dioxide gas when the gas is lowered to 12 and 9 MMSCFD, respectively.

Keywords

Subjects


[1] M. M. Mokhlis, M. A. Basarudin, M. F. Hassan, R. Fuenmayor, and R. Trivedi, “Implementation Challenges in Automation of Gas Lift Optimization Workflow: A Case Study for Digital Fields Journey,” ADIPEC. p. D042S191R002, Oct. 31, 2022. doi: 10.2118/211151-MS.
[2] Schlumberger, “Gas Lift Design,” Chevron Main Pass 313 Optim. Proj., vol. 1, p. 229, 1999.
[3] S. Hari, S. Krishna, M. Patel, P. Bhatia, and R. K. Vij, “Influence of wellhead pressure and water cut in the optimization of oil production from gas lifted wells,” Pet. Res., vol. 7, no. 2, pp. 253–262, 2022, doi: 10.1016/j.ptlrs.2021.09.008.
[4] V. Dwivedi, F. Al Zaabi, and B. Jaffres, “The Benefits of an Integrated Approach (Development, Completion, Production Operation, and Integrity) for Gas-Lift Design on an UAE Offshore Field,” ADIPEC. p. D022S169R004, Oct. 31, 2022. doi: 10.2118/211571-MS.
[5] M. Khoshkbarchi, M. Rahmanian, J. Cordazzo, and L. Nghiem, “SPE-199923-MS Application of Mesh Adaptive Derivative-Free Optimization Technique for Gas-Lift Optimization in an Integrated Reservoirs, Wells, and Facilities Modeling Environment,” 2020.
[6] N. Janatian and R. Sharma, “A robust model predictive control with constraint modification for gas lift allocation optimization,” J. Process Control, vol. 128, 2023, doi: 10.1016/j.jprocont.2023.102996.
[7] H. Hamedi, F. Rashidi, and E. Khamehchi, “A novel approach to the gas-lift allocation optimization problem,” Pet. Sci. Technol., vol. 29, no. 4, pp. 418–427, Jan. 2011, doi: 10.1080/10916460903394110.
[8] H. Namdar and M. A. Shahmohammadi, “Optimization of production and lift-gas allocation to producing wells by a new developed GLPC correlation and a simple optimization method,” Energy Sources, Part A Recover. Util. Environ. Eff., vol. 41, no. 21, pp. 2616–2630, Nov. 2019, doi: 10.1080/15567036.2019.1568635.
[9] R. R. Carpio et al., “Short-term oil production global optimization with operational constraints: A comparative study of nonlinear and piecewise linear formulations,” J. Pet. Sci. Eng., vol. 198, p. 108141, 2021, doi: 10.1016/j.petrol.2020.108141.
[10] M. A. Al-Janabi, O. F. Al-Fatlawi, D. J. Sadiq, H. A. Mahmood, and M. A. Al-Juboori, “Numerical Simulation of Gas Lift Optimization Using Artificial Intelligence for a Middle Eastern Oil Field,” Soc. Pet. Eng. - Abu Dhabi Int. Pet. Exhib. Conf. ADIP 2021, 2021, doi: 10.2118/207341-MS.
[11] K. Zanbouri, M. Razoughi Bastak, S. M. Alizadeh, N. Jafari Navimipour, and S. Yalcin, “A New Energy-Aware Method for Gas Lift Allocation in IoT-Based Industries Using a Chemical Reaction-Based Optimization Algorithm,” Electron., vol. 11, no. 22, 2022, doi: 10.3390/electronics11223769.
[12] L. Masud et al., “Gas Lift Optimization in Unconventional Wells – Vaca Muerta Case Study,” SPE Argentina Exploration and Production of Unconventional Resources Symposium. p. D011S004R002, Mar. 20, 2023. doi: 10.2118/212577-MS.
[13] R. Asgharzadeh Shishavan et al., “Closed Loop Gas-Lift Optimization,” SPE Artificial Lift Conference and Exhibition - Americas. p. D021S004R001, Aug. 23, 2022. doi: 10.2118/209756-MS.
[14] J. R. Blann and G. M. Laville, “Gas lifting a major oil field in Argentina with high CO2 content associated gas,” SPE Prod. Facil., vol. 12, no. 1, pp. 41–45, 1997, doi: 10.2118/30638-PA.
[15] M. A. Lozada Aguilar and M. Del Remedios Arredondo Monarrez, “Gas lift with nitrogen injection generated in situ,” in SPE International Petroleum Conference and Exhibition in Mexico, IPCEM, Society of Petroleum Engineers, 2000.
[16] قرچه بیدختی, امیر, & خامه‌چی, احسان. (1398). بهبود تولید یک میدان نفتی با استفاده از مدل‌سازی یکپارچه و کنترل بهینه. پژوهش نفت, 29(98-2), 34-45.
[17] پهلوان بجستانی م. ص، “طراحی و بهینه سازی فرازآوری باگاز در یک میدان نفتی”، پایان نامه کارشناسی ارشد، دانشگاه صنعتی شاهرود، 1391.