IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i15p5705-d881487.html
   My bibliography  Save this article

Rate Transient Behavior of Wells Intercepting Non-Uniform Fractures in a Layered Tight Gas Reservoir

Author

Listed:
  • Chengwei Zhang

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China)

  • Shiqing Cheng

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China)

  • Yang Wang

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China)

  • Gang Chen

    (Shaanxi Yanchang Petroleum (Group) Co., Ltd., Wuqi Oil Production Plant, Xi’an 716000, China)

  • Ke Yan

    (Shengli Oil Production Plant, SINOPEC Shengli Oilfield, Dongying 257051, China)

  • Yongda Ma

    (Zhuangxi Oil Production Plant, SINOPEC Shengli Oilfield, Dongying 257000, China)

Abstract

RTA (Rate Transient Analysis) is a valuable method for obtaining reservoir parameters and well performance, but current RTA models hardly consider the MLVF (Multi-Layer Vertical Fractured) well in a layered tight gas reservoir. To capture the production response caused by the fracture with non-uniform length and conductivity, a novel RTA model for an MLVF well in a layered tight reservoir was presented. In this paper, we present a novel tight gas reservoir RTA model, an extended MLVF well with non-uniform fracture length and conductivity to investigate the production decline feature by the combined RTA type curves. After that, the proposed RTA model is verified to ensure calculation accuracy. Sensitivity analysis is conducted on the crucial parameters, including the formation transmissibility, formation storability, fracture length, fracture conductivity, and fracture extension. Research results show that there are three rate decline stages caused by a multi fracture with non-uniform conductivity. The wellbore storage and formation skin can be ignored in the rate transient analysis work. The formation transmissibility affects the rate transient response more than the formation storability. The increase in fracture length, fracture conductivity, and the extension of a high conductivity fracture will improve the well’s production rate in a tight gas reservoir’s early production stage. Therefore, it is significant to incorporate how the effects of the MLVF well intercepting with non-uniform length fractures change conductivity. The RTA model proposed in this paper enables us to better evaluate well performance and capture the formation of complex fracture characteristics in a layered tight gas reservoir based on rate transient data.

Suggested Citation

  • Chengwei Zhang & Shiqing Cheng & Yang Wang & Gang Chen & Ke Yan & Yongda Ma, 2022. "Rate Transient Behavior of Wells Intercepting Non-Uniform Fractures in a Layered Tight Gas Reservoir," Energies, MDPI, vol. 15(15), pages 1-14, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5705-:d:881487
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/15/5705/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/15/5705/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bing Sun & Wenyang Shi & Rui Zhang & Shiqing Cheng & Chengwei Zhang & Shiying Di & Nan Cui, 2020. "Transient Behavior of Vertical Commingled Well in Vertical Non-Uniform Boundary Radii Reservoir," Energies, MDPI, vol. 13(9), pages 1-13, May.
    2. Youwei He & Shiqing Cheng & Zhenhua Rui & Jiazheng Qin & Liang Fu & Jianguo Shi & Yang Wang & Dingyi Li & Shirish Patil & Haiyang Yu & Jun Lu, 2018. "An Improved Rate-Transient Analysis Model of Multi-Fractured Horizontal Wells with Non-Uniform Hydraulic Fracture Properties," Energies, MDPI, vol. 11(2), pages 1-17, February.
    3. Xiangji Dou & Sujin Hong & Zhen Tao & Jiahao Lu & Guoqiang Xing, 2022. "Transient Pressure and Rate Behavior of a Vertically Refractured Well in a Shale Gas Reservoir," Energies, MDPI, vol. 15(12), pages 1-20, 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. Yun Xia & Wenpeng Bai & Zhipeng Xiang & Wanbin Wang & Qiao Guo & Yang Wang & Shiqing Cheng, 2022. "Improvement of Gas Compressibility Factor and Bottom-Hole Pressure Calculation Method for HTHP Reservoirs: A Field Case in Junggar Basin, China," Energies, MDPI, vol. 15(22), pages 1-20, November.

    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. Gang Hu & Guorong Wang & Liming Dai & Peng Zhang & Ming Li & Yukun Fu, 2018. "Sealing Failure Analysis on V-Shaped Sealing Rings of an Inserted Sealing Tool Used for Multistage Fracturing Processes," Energies, MDPI, vol. 11(6), pages 1-11, June.
    2. Galina Yudashkina & Sergey Pobochy, 2007. "Regulation of the electricity sector in Russia: regional aspects (in Russian)," Quantile, Quantile, issue 2, pages 107-130, March.
    3. Junjie Ren & Qiao Zheng & Chunlan Zhao, 2019. "A Modified Blasingame Production Analysis Method for Vertical Wells Considering the Quadratic Gradient Term," Energies, MDPI, vol. 12(11), pages 1-33, May.
    4. Xu Yang & Boyun Guo, 2019. "A Data-Driven Workflow Approach to Optimization of Fracture Spacing in Multi-Fractured Shale Oil Wells," Energies, MDPI, vol. 12(10), pages 1-14, May.
    5. Mingxian Wang & Xiangji Dou & Ruiqing Ming & Weiqiang Li & Wenqi Zhao & Chengqian Tan, 2021. "Semi-Analytical Rate Decline Solutions for a Refractured Horizontal Well Intercepted by Multiple Reorientation Fractures with Fracture Face Damage in an Anisotropic Tight Reservoir," Energies, MDPI, vol. 14(22), pages 1-28, November.

    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:15:y:2022:i:15:p:5705-:d:881487. 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.