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Numerical Simulation of Oil Shale Retorting Optimization under In Situ Microwave Heating Considering Electromagnetics, Heat Transfer, and Chemical Reactions Coupling

Author

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  • Hao Wang

    (State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083, China
    State Center Research and Development of Oil Shale Exploitation, Beijing 100083, China
    Petroleum and Natural Gas Engineering, Southwest Petroleum University, Chengdu 610500, China)

  • Jianzheng Su

    (State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083, China
    State Center Research and Development of Oil Shale Exploitation, Beijing 100083, China)

  • Jingyi Zhu

    (State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083, China
    College of Chemistry and Chemical Engineering, Southwest Petroleum University, Chengdu 610500, China)

  • Zhaozhong Yang

    (Petroleum and Natural Gas Engineering, Southwest Petroleum University, Chengdu 610500, China)

  • Xianglong Meng

    (State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083, China
    State Center Research and Development of Oil Shale Exploitation, Beijing 100083, China)

  • Xiaogang Li

    (Petroleum and Natural Gas Engineering, Southwest Petroleum University, Chengdu 610500, China)

  • Jie Zhou

    (Institute of Applied Electromagnetics, Sichuan University, Chengdu 610500, China)

  • Liangping Yi

    (Petroleum and Natural Gas Engineering, Southwest Petroleum University, Chengdu 610500, China)

Abstract

Oil shale constitutes an important proportion of unconventional resources, and its efficient exploitation helps alleviate the Chinese oil shortage situation. Nowadays, microwave heating is a promising method for in situ development of oil shale. However, the corresponding numerical simulation lacks in guiding the retorting optimization under microwave heating. A novel pseudo three-dimensional model, considering electromagnetics, temperature field, and chemical reactions coupling was developed and implemented to investigate oil shale reservoirs’ retorting performance under microwave heating based on the finite element method (FEM). The effects of microwave power, antenna number, and antenna position were analyzed creatively to optimize the microwave heating parameters. Numerical results showed high microwave power increased the maximum reservoir temperature quickly near the heating well, but the thermal conductivity of oil shale dominated the temperature of distal formation. For a typical case of two antennas at 0.9 m spacing and 500 W, the maximum temperature can reach 443 °C at 100 days, and the kerogen near the wellbore quickly converts to hydrocarbon products. Moreover, increasing antennas can improve the heating rate, and the specific distance between two antennas should be designed based on the microwave power and oil shale properties.

Suggested Citation

  • Hao Wang & Jianzheng Su & Jingyi Zhu & Zhaozhong Yang & Xianglong Meng & Xiaogang Li & Jie Zhou & Liangping Yi, 2022. "Numerical Simulation of Oil Shale Retorting Optimization under In Situ Microwave Heating Considering Electromagnetics, Heat Transfer, and Chemical Reactions Coupling," Energies, MDPI, vol. 15(16), pages 1-14, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:16:p:5788-:d:884199
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    References listed on IDEAS

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    1. Kang, Zhiqin & Zhao, Yangsheng & Yang, Dong, 2020. "Review of oil shale in-situ conversion technology," Applied Energy, Elsevier, vol. 269(C).
    2. Wang, Zhendong & Lü, Xiaoshu & Li, Qiang & Sun, Youhong & Wang, Yuan & Deng, Sunhua & Guo, Wei, 2020. "Downhole electric heater with high heating efficiency for oil shale exploitation based on a double-shell structure," Energy, Elsevier, vol. 211(C).
    3. Song, Xianzhi & Zhang, Chengkai & Shi, Yu & Li, Gensheng, 2019. "Production performance of oil shale in-situ conversion with multilateral wells," Energy, Elsevier, vol. 189(C).
    4. Jia Liu & Jianguo Wang & Chunfai Leung & Feng Gao, 2018. "A Fully Coupled Numerical Model for Microwave Heating Enhanced Shale Gas Recovery," Energies, MDPI, vol. 11(6), pages 1-28, June.
    5. He, Lu & Ma, Yue & Yue, Changtao & Li, Shuyuan & Tang, Xun, 2022. "The heating performance and kinetic behaviour of oil shale during microwave pyrolysis," Energy, Elsevier, vol. 244(PB).
    6. Lan, Wenjian & Wang, Hanxiang & Liu, Qihu & Zhang, Xin & Chen, Jingkai & Li, Ziling & Feng, Kun & Chen, Shengshan, 2021. "Investigation on the microwave heating technology for coalbed methane recovery," Energy, Elsevier, vol. 237(C).
    7. Fia, A.Z. & Amorim, J., 2021. "Heating of biomass in microwave household oven - A numerical study," Energy, Elsevier, vol. 218(C).
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    1. Sergei Sabanov & Abdullah Rasheed Qureshi & Zhaudir Dauitbay & Gulim Kurmangazy, 2023. "A Method for the Modified Estimation of Oil Shale Mineable Reserves for Shale Oil Projects: A Case Study," Energies, MDPI, vol. 16(16), pages 1-17, August.

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