IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i5p1066-d326699.html
   My bibliography  Save this article

An Analytical Solution for Transient Productivity Prediction of Multi-Fractured Horizontal Wells in Tight Gas Reservoirs Considering Nonlinear Porous Flow Mechanisms

Author

Listed:
  • Qiang Wang

    (Research Institute of Petroleum Exploration and Development, Beijing 100083, China
    Sinopec Star (Beijing) New Energy Research Institute Co., Ltd., Beijing 100083, China)

  • Jifang Wan

    (Research Institute of Petroleum Exploration and Development, Beijing 100083, China
    CNPC Engineering Technology R&D Company Limited, Beijing 102206, China)

  • Langfeng Mu

    (Missouri University of Science and Technology, Rolla, MO 65409, USA
    Chinese Academy of Geological Sciences, Beijing 100037, China)

  • Ruichen Shen

    (CNPC Engineering Technology R&D Company Limited, Beijing 102206, China)

  • Maria Jose Jurado

    (Institute of Earth Sciences Jaume Almera, CSIC, 08028 Barcelona, Spain)

  • Yufeng Ye

    (National Oil and Gas Exploration and Development Company Limited, Beijing 100034, China)

Abstract

Multi-fractured horizontal wells (MFHW) is one of the most effective technologies to develop tight gas reservoirs. The gas seepage from tight formations in MFHW can be divided into three stages: early stage with high productivity, transitional stage with declined productivity, and final stage with stable productivity. Considering the characteristics and mechanisms of porous flows in different regions and at different stages, we derive three coupled equations, namely the equations of porous flow from matrix to fracture, from fracture to near wellbore region, and from new wellbore region to wellbore then an unstable productivity prediction model for a MFHW in a tight gas reservoir is well established. Then, the reliability of this new model, which considers the multi-fracture interference, is verified using a commercial simulator (CMG). Finally, using this transient productivity prediction model, the sensitivity of horizontal well’s productivity to several relevant factors is analyzed. The results illustrate that threshold pressure gradient has the most significant influence on well productivity, followed by stress sensitivity, turbulence flow, and slippage flow. To summarize, the proposed model has demonstrated a potential practical usage to predict the productivity of multi-stage fractured horizontal wells and to analyze the effects of certain factors on gas production in tight gas reservoirs.

Suggested Citation

  • Qiang Wang & Jifang Wan & Langfeng Mu & Ruichen Shen & Maria Jose Jurado & Yufeng Ye, 2020. "An Analytical Solution for Transient Productivity Prediction of Multi-Fractured Horizontal Wells in Tight Gas Reservoirs Considering Nonlinear Porous Flow Mechanisms," Energies, MDPI, vol. 13(5), pages 1-20, March.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1066-:d:326699
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/5/1066/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/5/1066/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yongfei Yang & Zhihui Liu & Jun Yao & Lei Zhang & Jingsheng Ma & S. Hossein Hejazi & Linda Luquot & Toussaint Dono Ngarta, 2018. "Flow Simulation of Artificially Induced Microfractures Using Digital Rock and Lattice Boltzmann Methods," Energies, MDPI, vol. 11(8), pages 1-17, August.
    2. Wendong Wang & Yuliang Su & Bin Yuan & Kai Wang & Xiaopeng Cao, 2018. "Numerical Simulation of Fluid Flow through Fractal-Based Discrete Fractured Network," Energies, MDPI, vol. 11(2), pages 1-15, January.
    3. Fanhui Zeng & Fan Peng & Jianchun Guo & Jianhua Xiang & Qingrong Wang & Jiangang Zhen, 2018. "A Transient Productivity Model of Fractured Wells in Shale Reservoirs Based on the Succession Pseudo-Steady State Method," Energies, MDPI, vol. 11(9), pages 1-16, September.
    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. Kaixuan Qiu & Heng Li, 2020. "An Analytical Model for Production Analysis of Hydraulically Fractured Shale Gas Reservoirs Considering Irregular Stimulated Regions," Energies, MDPI, vol. 13(22), pages 1-26, November.
    2. Reza Rezaee, 2022. "Editorial on Special Issues of Development of Unconventional Reservoirs," Energies, MDPI, vol. 15(7), pages 1-9, April.
    3. Samuel O. Osisanya & Ajayi Temitope Ayokunle & Bisweswar Ghosh & Abhijith Suboyin, 2021. "Modified Horizontal Well Productivity Model for a Tight Gas Reservoir Subjected to Non-Uniform Damage and Turbulence," Energies, MDPI, vol. 14(24), pages 1-18, December.
    4. Meng Gao & Chenji Wei & Xiangguo Zhao & Ruijie Huang & Jian Yang & Baozhu Li, 2022. "Production Forecasting Based on Attribute-Augmented Spatiotemporal Graph Convolutional Network for a Typical Carbonate Reservoir in the Middle East," Energies, MDPI, vol. 16(1), pages 1-21, December.

    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. Zhihui Liu & Yongfei Yang & Yingwen Li & Jiaxue Li, 2021. "In Situ Deformation Analysis of a Fracture in Coal under Cyclic Loading and Unloading," Energies, MDPI, vol. 14(20), pages 1-16, October.
    2. Hai Sun & Lian Duan & Lei Liu & Weipeng Fan & Dongyan Fan & Jun Yao & Lei Zhang & Yongfei Yang & Jianlin Zhao, 2019. "The Influence of Micro-Fractures on the Flow in Tight Oil Reservoirs Based on Pore-Network Models," Energies, MDPI, vol. 12(21), pages 1-17, October.
    3. Jingxuan Zhang & Xiangjun Liu & Xiaochen Wei & Lixi Liang & Jian Xiong & Wei Li, 2019. "Uncertainty Analysis of Factors Influencing Stimulated Fracture Volume in Layered Formation," Energies, MDPI, vol. 12(23), pages 1-24, November.
    4. Long Ren & Wendong Wang & Yuliang Su & Mingqiang Chen & Cheng Jing & Nan Zhang & Yanlong He & Jian Sun, 2018. "Multiporosity and Multiscale Flow Characteristics of a Stimulated Reservoir Volume (SRV)-Fractured Horizontal Well in a Tight Oil Reservoir," Energies, MDPI, vol. 11(10), pages 1-14, October.
    5. Fanhui Zeng & Fan Peng & Jianchun Guo & Jianhua Xiang & Qingrong Wang & Jiangang Zhen, 2018. "A Transient Productivity Model of Fractured Wells in Shale Reservoirs Based on the Succession Pseudo-Steady State Method," Energies, MDPI, vol. 11(9), pages 1-16, September.
    6. Jianchao Cai & Shuyu Sun & Ali Habibi & Zhien Zhang, 2019. "Emerging Advances in Petrophysics: Porous Media Characterization and Modeling of Multiphase Flow," Energies, MDPI, vol. 12(2), pages 1-5, January.
    7. Xinling Li & Zeyun Jiang & Chao Min, 2019. "Quantitative Study of the Geometrical and Hydraulic Characteristics of a Single Rock Fracture," Energies, MDPI, vol. 12(14), pages 1-17, July.
    8. Liming Zhang & Zekun Deng & Kai Zhang & Tao Long & Joshua Kwesi Desbordes & Hai Sun & Yongfei Yang, 2019. "Well-Placement Optimization in an Enhanced Geothermal System Based on the Fracture Continuum Method and 0-1 Programming," Energies, MDPI, vol. 12(4), pages 1-20, February.
    9. Yaohao Guo & Lei Zhang & Guangpu Zhu & Jun Yao & Hai Sun & Wenhui Song & Yongfei Yang & Jianlin Zhao, 2019. "A Pore-Scale Investigation of Residual Oil Distributions and Enhanced Oil Recovery Methods," Energies, MDPI, vol. 12(19), pages 1-16, September.
    10. Haiyang Yu & Songchao Qi & Zhewei Chen & Shiqing Cheng & Qichao Xie & Xuefeng Qu, 2019. "Simulation Study of Allied In-Situ Injection and Production for Enhancing Shale Oil Recovery and CO 2 Emission Control," Energies, MDPI, vol. 12(20), pages 1-18, October.
    11. Shi, Yu & Song, Xianzhi & Wang, Gaosheng & Li, Jiacheng & Geng, Lidong & Li, Xiaojiang, 2019. "Numerical study on heat extraction performance of a multilateral-well enhanced geothermal system considering complex hydraulic and natural fractures," Renewable Energy, Elsevier, vol. 141(C), pages 950-963.
    12. Haiyuan Yang & Li Zhang & Ronghe Liu & Xianli Wen & Yongfei Yang & Lei Zhang & Kai Zhang & Roohollah Askari, 2019. "Thermal Conduction Simulation Based on Reconstructed Digital Rocks with Respect to Fractures," Energies, MDPI, vol. 12(14), pages 1-13, July.
    13. Jianchao Cai & Zhien Zhang & Qinjun Kang & Harpreet Singh, 2019. "Recent Advances in Flow and Transport Properties of Unconventional Reservoirs," Energies, MDPI, vol. 12(10), pages 1-5, May.

    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:13:y:2020:i:5:p:1066-:d:326699. 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.