IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i12p3070-d371096.html
   My bibliography  Save this article

An Integrally Embedded Discrete Fracture Model for Flow Simulation in Anisotropic Formations

Author

Listed:
  • Renjie Shao

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

  • Yuan Di

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

  • Dawei Wu

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

  • Yu-Shu Wu

    (Petroleum Engineering Department, Colorado School of Mines, Golden, CO 80401, USA)

Abstract

The embedded discrete fracture model (EDFM), among different flow simulation models, achieves a good balance between efficiency and accuracy. In the EDFM, micro-scale fractures that cannot be characterized individually need to be homogenized into the matrix, which may bring anisotropy into the matrix. However, the simplified matrix–fracture fluid exchange assumption makes it difficult for EDFM to address the anisotropic flow. In this paper, an integrally embedded discrete fracture model (iEDFM) suitable for anisotropic formations is proposed. Structured mesh is employed for the anisotropic matrix, and the fracture element, which consists of a group of connected fractures, is integrally embedded in the matrix grid. An analytic pressure distribution is derived for the point source in anisotropic formation expressed by permeability tensor, and applied to the matrix–fracture transmissibility calculation. Two case studies were conducted and compared with the analytic solution or fine grid result to demonstrate the advantage and applicability of iEDFM to address anisotropic formation. In addition, a two-phase flow example with a reported dataset was studied to analyze the effect of the matrix anisotropy on the simulation result, which also showed the feasibility of iEDFM to address anisotropic formation with complex fracture networks.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3070-:d:371096
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/12/3070/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/12/3070/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Weirong Li & Zhenzhen Dong & Gang Lei, 2017. "Integrating Embedded Discrete Fracture and Dual-Porosity, Dual-Permeability Methods to Simulate Fluid Flow in Shale Oil Reservoirs," Energies, MDPI, vol. 10(10), pages 1-15, September.
    2. 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.
    3. 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. Mehrdad Massoudi, 2021. "Mathematical Modeling of Fluid Flow and Heat Transfer in Petroleum Industries and Geothermal Applications 2020," Energies, MDPI, vol. 14(16), pages 1-4, August.

    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. Xiaomeng Cao & Yuan Gao & Jingwei Cui & Shuangbiao Han & Lei Kang & Sha Song & Chengshan Wang, 2020. "Pore Characteristics of Lacustrine Shale Oil Reservoir in the Cretaceous Qingshankou Formation of the Songliao Basin, NE China," Energies, MDPI, vol. 13(8), pages 1-25, April.
    5. Zhenzhen Dong & Weirong Li & Gang Lei & Huijie Wang & Cai Wang, 2019. "Embedded Discrete Fracture Modeling as a Method to Upscale Permeability for Fractured Reservoirs," Energies, MDPI, vol. 12(5), pages 1-15, March.
    6. Zheng, Shuai & Li, Sanbai & Zhang, Dongxiao, 2021. "Fluid and heat flow in enhanced geothermal systems considering fracture geometrical and topological complexities: An extended embedded discrete fracture model," Renewable Energy, Elsevier, vol. 179(C), pages 163-178.
    7. 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.
    8. 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.
    9. 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.

    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:12:p:3070-:d:371096. 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.