IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i23p7764-d1287452.html
   My bibliography  Save this article

A New Methodology for Determination of Layered Injection Allocation in Highly Deviated Wells Drilled in Low-Permeability Reservoirs

Author

Listed:
  • Mao Li

    (School of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710065, China
    The Key Laboratory of Well Stability and Fluid & Rock Mechanics in Oil and Gas Reservoir of Shaanxi Province, Xi’an Shiyou University, Xi’an 710065, China)

  • Zhan Qu

    (School of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710065, China
    The Key Laboratory of Well Stability and Fluid & Rock Mechanics in Oil and Gas Reservoir of Shaanxi Province, Xi’an Shiyou University, Xi’an 710065, China)

  • Songfeng Ji

    (Exploration and Development Research Institute, Changqing Oilfield Company, PetroChina, Xi’an 710018, China)

  • Lei Bai

    (No.1 Oil Production Plant, Changqing Oilfield Company, PetroChina, Yan’an 716000, China)

  • Shasha Yang

    (School of Petroleum Engineering and Environmental Engineering, Yan’an University, Yan’an 716000, China)

Abstract

During the water injection development process of highly deviated wells in low-permeability reservoirs, the water flooding distance between different layers of the same oil and water well is different due to the deviation of the well. In addition, the heterogeneity of low-permeability reservoirs is strong, and the water absorption capacity between layers is very different. This results in poor effectiveness of commonly used layered injection methods. Some highly deviated wells have premature water breakthroughs after layered water injection, which affects the development effect of the water flooding reservoirs. Therefore, based on the analysis and research of the existing layered injection allocation method and sand body connectivity evaluation method, considering the influence of sand body connectivity, the real displacement distance of highly deviated wells, reservoir physical properties, and other factors, a new methodology for determination of layered injection allocation in highly deviated wells drilled in low-permeability reservoirs is proposed. In this method, the vertical superposition and lateral contact relationship of a single sand body are determined using three methods: sand body configuration identification, seepage unit identification, and single sand body boundary identification. The connectivity coefficient, transition coefficient, and connectivity degree coefficient are introduced to quantitatively evaluate the connectivity of sand bodies and judge the connectivity relationship between single sand bodies. The correlation formula is obtained using the linear regression of the fracture length and ground fluid volume, and the real displacement distance of each layer in highly deviated wells is obtained. The calculation formula of the layered injection allocation is established by analyzing the important factors affecting the layered injection allocation, and a reasonable layered injection allocation is obtained. The calculation parameters of this method are fully considered, the required parameters are easy to obtain, and the practicability is strong. It can provide a method reference for the policy adjustment of layered water injection technology in similar water injection development reservoirs.

Suggested Citation

  • Mao Li & Zhan Qu & Songfeng Ji & Lei Bai & Shasha Yang, 2023. "A New Methodology for Determination of Layered Injection Allocation in Highly Deviated Wells Drilled in Low-Permeability Reservoirs," Energies, MDPI, vol. 16(23), pages 1-24, November.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7764-:d:1287452
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/23/7764/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/23/7764/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jackson Waburoko & Congjiao Xie & Kegang Ling, 2021. "Effect of Well Orientation on Oil Recovery from Waterflooding in Shallow Green Reservoirs: A Case Study from Central Africa," Energies, MDPI, vol. 14(5), pages 1-26, February.
    2. Kongjie Wang & Lian Wang & Caspar Daniel Adenutsi & Zhiping Li & Sen Yang & Liang Zhang & Lan Wang, 2019. "Analysis of Gas Flow Behavior for Highly Deviated Wells in Naturally Fractured-Vuggy Carbonate Gas Reservoirs," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-13, July.
    3. Qinwen Zhang & Liehui Zhang & Qiguo Liu & Youshi Jiang, 2020. "Pressure Performance of Highly Deviated Well in Low Permeability Carbonate Gas Reservoir Using a Composite Model," Energies, MDPI, vol. 13(22), pages 1-19, November.
    Full references (including those not matched with items on IDEAS)

    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. Qinwen Zhang & Liehui Zhang & Qiguo Liu & Youshi Jiang, 2020. "Pressure Performance of Highly Deviated Well in Low Permeability Carbonate Gas Reservoir Using a Composite Model," Energies, MDPI, vol. 13(22), pages 1-19, November.
    2. Haoyuan Li & Qi Zhang & Keying Wei & Yuan Zeng & Yushuang Zhu, 2022. "Well Test Analysis of Inclined Wells in the Low-Permeability Composite Gas Reservoir Considering the Non-Darcy Flow," Energies, MDPI, vol. 15(5), pages 1-16, February.
    3. Lun Zhao & Jincai Wang & Libing Fu & Li Chen & Zhihao Jia, 2023. "Improve Oil Recovery Mechanism of Multi-Layer Cyclic Alternate Injection and Production for Mature Oilfield at Extra-High Water Cut Stage Using Visual Physical Simulation Experiment," Energies, MDPI, vol. 16(3), pages 1-13, February.

    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:16:y:2023:i:23:p:7764-:d:1287452. 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.