IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i7p996-d104698.html
   My bibliography  Save this article

Impact of Stress-Dependent Matrix and Fracture Properties on Shale Gas Production

Author

Listed:
  • Huiying Tang

    (College of Engineering, Peking University, Beijing 100871, China)

  • Yuan Di

    (College of Engineering, Peking University, Beijing 100871, China)

  • Yongbin Zhang

    (Tarim Oil Company, PetroChina, Korla 841000, Xinjiang, China)

  • Hangyu Li

    (Department of Energy Resources Engineering, Stanford University, Stanford, CA 94305, USA)

Abstract

Unconventional shale gas production is often characterized by a short period of high production followed by a rapid decline in the production rate. Given the high costs of hydraulic fracturing and horizontal drilling, it is critical to identify the mechanisms behind the production loss. The existing shale gas production models often assume constant matrix permeability. However, laboratory observations show that matrix permeability can decrease significantly with increasing effective stress, which highlights the necessity of considering the stress-dependent properties of shale matrix in production analysis. Moreover, the compaction of pore space will also increase the matrix permeability by enhancing the gas-slippage effect. In this paper, a matrix permeability model which couples the effect of pore volume compaction and non-Darcy slip flow is derived. Numerical simulations are conducted to understand the role of matrix permeability evolution during production. Changes of fractures’ permeability and contact area during depletion process are also taken into account. The results indicate that the loss of fracture permeability has a greater impact at the early stage of the depletion process, while matrix permeability evolution is more important for the long-term production.

Suggested Citation

  • Huiying Tang & Yuan Di & Yongbin Zhang & Hangyu Li, 2017. "Impact of Stress-Dependent Matrix and Fracture Properties on Shale Gas Production," Energies, MDPI, vol. 10(7), pages 1-13, July.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:996-:d:104698
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/7/996/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/7/996/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yongbin Zhang & Bin Gong & Junchao Li & Hangyu Li, 2015. "Discrete Fracture Modeling of 3D Heterogeneous Enhanced Coalbed Methane Recovery with Prismatic Meshing," Energies, MDPI, vol. 8(6), pages 1-24, June.
    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. Chuanliang Yan & Yuanfang Cheng & Fucheng Deng & Ji Tian, 2017. "Permeability Change Caused by Stress Damage of Gas Shale," Energies, MDPI, vol. 10(9), pages 1-11, September.
    2. Shaowei Zhang & Mengzi Zhang & Zhen Wang & Rongwang Yin, 2023. "RETRACTED ARTICLE: Research on shale gas productivity prediction method based on optimization algorithm," Journal of Combinatorial Optimization, Springer, vol. 45(5), pages 1-14, July.

    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. Renjie Shao & Yuan Di, 2018. "An Integrally Embedded Discrete Fracture Model with a Semi-Analytic Transmissibility Calculation Method," Energies, MDPI, vol. 11(12), pages 1-20, December.
    2. Yiyu Lu & Zhe Zhou & Zhaolong Ge & Xinwei Zhang & Qian Li, 2015. "Research on and Design of a Self-Propelled Nozzle for the Tree-Type Drilling Technique in Underground Coal Mines," Energies, MDPI, vol. 8(12), pages 1-12, December.
    3. Mandadige Samintha Anne Perera & Ashani Savinda Ranathunga & Pathegama Gamage Ranjith, 2016. "Effect of Coal Rank on Various Fluid Saturations Creating Mechanical Property Alterations Using Australian Coals," Energies, MDPI, vol. 9(6), pages 1-15, June.
    4. Renjie Shao & Yuan Di & Dawei Wu & Yu-Shu Wu, 2020. "An Integrally Embedded Discrete Fracture Model for Flow Simulation in Anisotropic Formations," Energies, MDPI, vol. 13(12), pages 1-21, June.
    5. 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.
    6. Xuan Liu & Cheng Dai & Liang Xue & Bingyu Ji, 2018. "Estimation of fracture distribution in a CO2†EOR system through Ensemble Kalman filter," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 8(2), pages 257-278, April.

    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:10:y:2017:i:7:p:996-:d:104698. 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.