IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i6p1608-d153412.html
   My bibliography  Save this article

A Fully Coupled Numerical Model for Microwave Heating Enhanced Shale Gas Recovery

Author

Listed:
  • Jia Liu

    (State Key Laboratory for Geomechanics & Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, China
    Center for Offshore Research and Engineering, National University of Singapore, E1A-07-03, 1 Engineering Drive 2, Singapore 117576, Singapore)

  • Jianguo Wang

    (State Key Laboratory for Geomechanics & Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, China
    School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Chunfai Leung

    (Center for Offshore Research and Engineering, National University of Singapore, E1A-07-03, 1 Engineering Drive 2, Singapore 117576, Singapore)

  • Feng Gao

    (State Key Laboratory for Geomechanics & Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, China
    School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

Formation heat treatment (FHT) can be achieved by converting electromagnetic energy into heat energy (that is microwave heating or MWH). Experimental evidence shows that such FHT can significantly enhance oil and gas recovery. As relatively few research studies have been reported on microwave heating enhanced shale gas recovery (MWH-EGR), a fully coupled electromagnetic-thermo-hydro-mechanical (ETHM) model is developed for the MWH-EGR in the present study. In the ETHM model, a thermal-induced gas adsorption model is firstly proposed for shale gas adsorption and fitted by experimental data. This thermal-induced adsorption model considers the increase of matrix pore space due to the desorption of the adsorbed phase. Further, a thermal-induced fracture model in shale matrix is established and fitted by experimental data. Finally, this ETHM model is applied to a fractured shale gas reservoir to simulate gas production. Numerical results indicated that the thermal-induced fracturing and gas desorption make predominant contributions to the evolution of matrix porosity. The MWH can increase cumulative gas production by 44.9% after 31.7 years through promoting gas desorption and matrix diffusion. These outcomes can provide effective insights into shale gas recovery enhancement by microwave assistance.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1608-:d:153412
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/6/1608/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/6/1608/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jia Liu & Jianguo Wang & Chunfai Leung & Feng Gao, 2018. "A Multi-Parameter Optimization Model for the Evaluation of Shale Gas Recovery Enhancement," Energies, MDPI, vol. 11(3), pages 1-29, March.
    2. Bera, Achinta & Babadagli, Tayfun, 2015. "Status of electromagnetic heating for enhanced heavy oil/bitumen recovery and future prospects: A review," Applied Energy, Elsevier, vol. 151(C), pages 206-226.
    3. Lei Tan & Lihua Zuo & Binbin Wang, 2018. "Methods of Decline Curve Analysis for Shale Gas Reservoirs," Energies, MDPI, vol. 11(3), pages 1-18, March.
    4. Deliang Zhang & Yu Dai & Xinhua Ma & Liehui Zhang & Bing Zhong & Jianfa Wu & Zhengwu Tao, 2018. "An Analysis for the Influences of Fracture Network System on Multi-Stage Fractured Horizontal Well Productivity in Shale Gas Reservoirs," Energies, MDPI, vol. 11(2), pages 1-19, February.
    5. Abdulrahman, Muhammed Moshin & Meribout, Mahmoud, 2014. "Antenna array design for enhanced oil recovery under oil reservoir constraints with experimental validation," Energy, Elsevier, vol. 66(C), pages 868-880.
    6. Yuwei Li & Lihua Zuo & Wei Yu & Youguang Chen, 2018. "A Fully Three Dimensional Semianalytical Model for Shale Gas Reservoirs with Hydraulic Fractures," Energies, MDPI, vol. 11(2), pages 1-19, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiaoji Shang & Zhizhen Zhang & Weihao Yang & J.G. Wang & Cheng Zhai, 2022. "A Thermal-Hydraulic-Gas-Mechanical Coupling Model on Permeability Enhancement in Heterogeneous Shale Volume Fracturing," Mathematics, MDPI, vol. 10(19), pages 1-16, September.
    2. Hao Wang & Xiaogang Li & Jingyi Zhu & Zhaozhong Yang & Jie Zhou & Liangping Yi, 2022. "Numerical Simulation of Oil Shale Pyrolysis under Microwave Irradiation Based on a Three-Dimensional Porous Medium Multiphysics Field Model," Energies, MDPI, vol. 15(9), pages 1-20, April.
    3. Liu, Jia & Xue, Yi & Fu, Yong & Yao, Kai & Liu, Jianqiang, 2023. "Numerical investigation on microwave-thermal recovery of shale gas based on a fully coupled electromagnetic, heat transfer, and multiphase flow model," Energy, Elsevier, vol. 263(PE).
    4. 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.
    5. WeiGang Yu & Jiang Lei & Tengxi Wang & Wei Chen, 2019. "H 2 O 2 -Enhanced Shale Gas Recovery under Different Thermal Conditions," Energies, MDPI, vol. 12(11), pages 1-12, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maojun Cao & Yu Dai & Ling Zhao & Yuele Jia & Yueru Jia, 2018. "Hybrid Coupled Multifracture and Multicontinuum Models for Shale Gas Simulation by Use of Semi-Analytical Approach," Energies, MDPI, vol. 11(5), pages 1-20, May.
    2. Li, He & Shi, Shiliang & Lin, Baiquan & Lu, Jiexin & Ye, Qing & Lu, Yi & Wang, Zheng & Hong, Yidu & Zhu, Xiangnan, 2019. "Effects of microwave-assisted pyrolysis on the microstructure of bituminous coals," Energy, Elsevier, vol. 187(C).
    3. Han Cao & Tianyi Wang & Ting Bao & Pinghe Sun & Zheng Zhang & Jingjing Wu, 2018. "Effective Exploitation Potential of Shale Gas from Lower Cambrian Niutitang Formation, Northwestern Hunan, China," Energies, MDPI, vol. 11(12), pages 1-18, December.
    4. Wang, Zhengxu & Gao, Deli & Diao, Binbin & Zhang, Wei, 2020. "The influence of casing properties on performance of radio frequency heating for oil sands recovery," Applied Energy, Elsevier, vol. 261(C).
    5. 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).
    6. Shi, Yu & Song, Xianzhi & Shen, Zhonghou & Wang, Gaosheng & Li, Xiaojiang & Zheng, Rui & Geng, Lidong & Li, Jiacheng & Zhang, Shikun, 2018. "Numerical investigation on heat extraction performance of a CO2 enhanced geothermal system with multilateral wells," Energy, Elsevier, vol. 163(C), pages 38-51.
    7. Kumar, Thanikasalam & Mohsin, Rahmat & Majid, Zulkifli Abd. & Ghafir, Mohammad Fahmi Abdul & Wash, Ananth Manickam, 2020. "Experimental study of the anti-knock efficiency of high-octane fuels in spark ignited aircraft engine using response surface methodology," Applied Energy, Elsevier, vol. 259(C).
    8. Fengjiao Wang & Yikun Liu & Chaoyang Hu & Anqi Shen & Shuang Liang & Bo Cai, 2018. "A Simplified Physical Model Construction Method and Gas-Water Micro Scale Flow Simulation in Tight Sandstone Gas Reservoirs," Energies, MDPI, vol. 11(6), pages 1-16, June.
    9. Shi, Yu & Song, Xianzhi & Wang, Gaosheng & McLennan, John & Forbes, Bryan & Li, Xiaojiang & Li, Jiacheng, 2019. "Study on wellbore fluid flow and heat transfer of a multilateral-well CO2 enhanced geothermal system," Applied Energy, Elsevier, vol. 249(C), pages 14-27.
    10. Liying Zhu & Guoqing Han & Wenqi Ke & Xingyuan Liang & Jingfei Tang & Jiacheng Dai, 2022. "A Numerical Multistage Fractured Horizontal Well Model Concerning Hilly-Terrain Well Trajectory in Shale Reservoirs with Natural Fractures," Energies, MDPI, vol. 15(5), pages 1-20, March.
    11. Zhou, Xiang & Yuan, Qingwang & Rui, Zhenhua & Wang, Hanyi & Feng, Jianwei & Zhang, Liehui & Zeng, Fanhua, 2019. "Feasibility study of CO2 huff 'n' puff process to enhance heavy oil recovery via long core experiments," Applied Energy, Elsevier, vol. 236(C), pages 526-539.
    12. Bera, Achinta & Babadagli, Tayfun, 2015. "Status of electromagnetic heating for enhanced heavy oil/bitumen recovery and future prospects: A review," Applied Energy, Elsevier, vol. 151(C), pages 206-226.
    13. Zhenni Ye & Xiaoli Liu & Huan Sun & Qinxi Dong & Weisheng Du & Qijian Long, 2022. "Variations in Permeability and Mechanical Properties of Basaltic Rocks Induced by Carbon Mineralization," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    14. Xuechen Li & Xinfang Ma & Fengchao Xiao & Fei Wang & Shicheng Zhang, 2020. "Application of Gated Recurrent Unit (GRU) Neural Network for Smart Batch Production Prediction," Energies, MDPI, vol. 13(22), pages 1-22, November.
    15. Jingnan Dong & Mian Chen & Yuwei Li & Shiyong Wang & Chao Zeng & Musharraf Zaman, 2019. "Experimental and Theoretical Study on Dynamic Hydraulic Fracture," Energies, MDPI, vol. 12(3), pages 1-22, January.
    16. Gang Hu & Guorong Wang & Liming Dai & Peng Zhang & Ming Li & Yukun Fu, 2018. "Sealing Failure Analysis on V-Shaped Sealing Rings of an Inserted Sealing Tool Used for Multistage Fracturing Processes," Energies, MDPI, vol. 11(6), pages 1-11, June.
    17. Zhang, Xian-min & Chen, Bai-yan-yue & Zheng, Zhuang-zhuang & Feng, Qi-hong & Fan, Bin, 2023. "New methods of coalbed methane production analysis based on the generalized gamma distribution and field applications," Applied Energy, Elsevier, vol. 350(C).
    18. Yao, Yue & Sun, Deqiang & Xu, Jin-Hua & Wang, Bin & Peng, Guohong & Sun, Bingmei, 2023. "Evaluation of enhanced oil recovery methods for mature continental heavy oil fields in China based on geology, technology and sustainability criteria," Energy, Elsevier, vol. 278(PB).
    19. Prinisha Manda & Diakanua Bavon Nkazi, 2020. "The Evaluation and Sensitivity of Decline Curve Modelling," Energies, MDPI, vol. 13(11), pages 1-16, June.
    20. Lan, Wenjian & Wang, Hanxiang & Zhang, Xin & Fan, Hongbo & Feng, Kun & Liu, Yanxin & Sun, Bingyu, 2020. "Investigation on the mechanism of micro-cracks generated by microwave heating in coal and rock," Energy, Elsevier, vol. 206(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1608-:d:153412. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.