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A Multi-Parameter Optimization Model for the Evaluation of Shale Gas Recovery Enhancement

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

Although a multi-stage hydraulically fractured horizontal well in a shale reservoir initially produces gas at a high production rate, this production rate declines rapidly within a short period and the cumulative gas production is only a small fraction (20–30%) of the estimated gas in place. In order to maximize the gas recovery rate ( GRR ), this study proposes a multi-parameter optimization model for a typical multi-stage hydraulically fractured shale gas horizontal well. This is achieved by combining the response surface methodology (RSM) for the optimization of objective function with a fully coupled hydro-mechanical FEC-DPM for forward computation. The objective function is constructed with seven uncertain parameters ranging from matrix to hydraulic fracture. These parameters are optimized to achieve the GRR maximization in short-term and long-term gas productions, respectively. The key influential factors among these parameters are identified. It is established that the gas recovery rate can be enhanced by 10% in the short-term production and by 60% in the long-term production if the optimized parameters are used. Therefore, combining hydraulic fracturing with an auxiliary method to enhance the gas diffusion in matrix may be an effective alternative method for the economic development of shale gas.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:3:p:654-:d:136344
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    References listed on IDEAS

    as
    1. Jaejun Kim & Joe M. Kang & Changhyup Park & Yongjun Park & Jihye Park & Seojin Lim, 2017. "Multi-Objective History Matching with a Proxy Model for the Characterization of Production Performances at the Shale Gas Reservoir," Energies, MDPI, vol. 10(4), pages 1-16, April.
    2. 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.
    3. Yu Wang & Xiao Li & Ruilin Hu & Chaofeng Ma & Zhiheng Zhao & Bo Zhang, 2016. "Numerical Evaluation and Optimization of Multiple Hydraulically Fractured Parameters Using a Flow-Stress-Damage Coupled Approach," Energies, MDPI, vol. 9(5), pages 1-19, April.
    4. Chengpeng Zhang & Ranjith Pathegama Gamage & Mandadige Samintha Anna Perera & Jian Zhao, 2017. "Characteristics of Clay-Abundant Shale Formations: Use of CO 2 for Production Enhancement," Energies, MDPI, vol. 10(11), pages 1-27, November.
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    Cited by:

    1. 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.
    2. 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).
    3. Ghalandari, Taher & Kia, Alalea & Taborda, David M.G. & Van den bergh, Wim & Vuye, Cedric, 2023. "Thermal performance optimisation of Pavement Solar Collectors using response surface methodology," Renewable Energy, Elsevier, vol. 210(C), pages 656-670.
    4. A. Silveira, Edgar & Santanna Chaves, Bruno & Macedo, Lucélia & Ghesti, Grace F. & Evaristo, Rafael B.W. & Cruz Lamas, Giulia & Luz, Sandra M. & Protásio, Thiago de Paula & Rousset, Patrick, 2023. "A hybrid optimization approach towards energy recovery from torrefied waste blends," Renewable Energy, Elsevier, vol. 212(C), pages 151-165.
    5. Bowen Hu & Jianguo Wang & Zhanguo Ma, 2020. "A Fractal Discrete Fracture Network Based Model for Gas Production from Fractured Shale Reservoirs," Energies, MDPI, vol. 13(7), pages 1-20, April.
    6. 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.

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