Author
Listed:
- Jifei Yu
(State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100028, China)
- Wenchao Liu
(State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100028, China
School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China)
- Yang Yang
(State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100028, China)
- Mingkai Sun
(State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100028, China
School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China)
- Yanfeng Cao
(State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100028, China)
- Zicheng Meng
(State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100028, China
School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China)
Abstract
Conventional thermal recovery methods for heavy oil suffer from significant issues such as high water consumption, excessive greenhouse gas emissions, and substantial heat losses. In contrast, electromagnetic heating, as a waterless method for heavy oil recovery, offers numerous advantages, including high thermal energy utilization, reduced carbon emissions, and volumetric heating of the reservoir, making it a focus of recent research in heavy oil thermal recovery technologies. This paper presents a numerical simulation study of electromagnetic heating for heavy oil recovery, using a heavy oil block in the Bohai Bay oilfield in China as a case study. Firstly, a multiphysics field coupled to a mathematical model was established, considering the impact of the temperature on the heavy oil viscosity, the threshold pressure gradient of non-Darcy flow, and the dielectric properties of the reservoir, along with heat dissipation from overlying and undercover sandstone and gravitational effects on fluid flow. Secondly, a numerical simulation method for the coupled multiphysics fields was developed, and the convergence and stability of the numerical simulation method were tested. Finally, a sensitivity analysis based on the numerical simulation results identified the factors affecting heavy oil production. It was found that electromagnetic heating significantly enhances heavy oil production, and the threshold pressure gradient greatly influences the prediction of heavy oil production. Moreover, heat dissipation from the overlying and undercover sandstone severely reduces cumulative oil production. When the production well is located below the electromagnetic heating antenna, larger well spacing results in higher cumulative heavy oil production. Higher heavy oil production is achieved when the antenna is positioned at the center of the reservoir for the studied cases. Power has a big effect on increasing heavy oil production, but its influence diminishes as power increases. There exists an optimal range of electromagnetic frequencies for maximum cumulative production, and higher water saturation leads to poorer electromagnetic heating efficiency. This study provides a theoretical foundation and technical support for the numerical simulation technology and development plan optimization of heavy oil reservoirs subjected to electromagnetic heating.
Suggested Citation
Jifei Yu & Wenchao Liu & Yang Yang & Mingkai Sun & Yanfeng Cao & Zicheng Meng, 2024.
"Multiphysics Field Coupled to a Numerical Simulation Study on Heavy Oil Reservoir Development via Electromagnetic Heating in a SAGD-like Process,"
Energies, MDPI, vol. 17(20), pages 1-35, October.
Handle:
RePEc:gam:jeners:v:17:y:2024:i:20:p:5125-:d:1499268
Download full text from publisher
References listed on IDEAS
- Haifeng Li & Qiang Wang & Yongbin Wu, 2023.
"Current Status and Development Direction of Low-Carbon Exploitation Technology for Heavy Oil,"
Energies, MDPI, vol. 16(5), pages 1-15, February.
- Jun Yao & Wenchao Liu & Zhangxin Chen, 2013.
"Numerical Solution of a Moving Boundary Problem of One-Dimensional Flow in Semi-Infinite Long Porous Media with Threshold Pressure Gradient,"
Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-7, December.
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