IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i10p1938-d232866.html
   My bibliography  Save this article

An Analytical Model for Capturing the Decline of Fracture Conductivity in the Tuscaloosa Marine Shale Trend from Production Data

Author

Listed:
  • Xu Yang

    (Department of Petroleum Engineering, University of Louisiana at Lafayette, Lafayette, LA 70504, USA)

  • Boyun Guo

    (Department of Petroleum Engineering, University of Louisiana at Lafayette, Lafayette, LA 70504, USA)

  • Xiaohui Zhang

    (Department of Petroleum Engineering, University of Louisiana at Lafayette, Lafayette, LA 70504, USA)

Abstract

Fracture conductivity decline is a concern in the Tuscaloosa Marine Shale (TMS) wells due to the high content of clay in the shale. An analytical well productivity model was developed in this study considering the pressure-dependent conductivity of hydraulic fractures. The log-log diagnostic approach was used to identify the boundary-dominated flow regime rather than the linear flow regime. Case studies of seven TMS wells indicated that the proposed model allows approximation of the field data with good accuracy. Production data analyses with the model revealed that the pressure-dependent fracture conductivity in the TMS in the Mississippi section declines following a logarithmic mode, with dimensionless coefficient χ varying between 0.116 and 0.130. The pressure-dependent decline of fracture conductivity in the transient flow period is more significant than that in the boundary-dominated flow period.

Suggested Citation

  • Xu Yang & Boyun Guo & Xiaohui Zhang, 2019. "An Analytical Model for Capturing the Decline of Fracture Conductivity in the Tuscaloosa Marine Shale Trend from Production Data," Energies, MDPI, vol. 12(10), pages 1-16, May.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:10:p:1938-:d:232866
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/10/1938/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/10/1938/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lei Zhou & Junchao Chen & Yang Gou & Wentao Feng, 2017. "Numerical Investigation of the Time-Dependent and the Proppant Dominated Stress Shadow Effects in a Transverse Multiple Fracture System and Optimization," Energies, MDPI, vol. 10(1), pages 1-21, January.
    2. Kun Ai & Longchen Duan & Hui Gao & Guangliang Jia, 2018. "Hydraulic Fracturing Treatment Optimization for Low Permeability Reservoirs Based on Unified Fracture Design," Energies, MDPI, vol. 11(7), pages 1-23, July.
    3. Xin Chang & Yintong Guo & Jun Zhou & Xuehang Song & Chunhe Yang, 2018. "Numerical and Experimental Investigations of the Interactions between Hydraulic and Natural Fractures in Shale Formations," Energies, MDPI, vol. 11(10), pages 1-27, September.
    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. Rahman Lotfi & Mostafa Hosseini & Davood Aftabi & Alireza Baghbanan & Guanshui Xu, 2021. "Pumping Schedule Optimization in Acid Fracturing Treatment by Unified Fracture Design," Energies, MDPI, vol. 14(23), pages 1-23, December.
    2. Lingyun Kong & Mehdi Ostadhassan & Siavash Zamiran & Bo Liu & Chunxiao Li & Gennaro G. Marino, 2019. "Geomechanical Upscaling Methods: Comparison and Verification via 3D Printing," Energies, MDPI, vol. 12(3), pages 1-20, January.
    3. Song Wang & Jian Zhou & Luqing Zhang & Zhenhua Han, 2020. "Numerical Investigation of Injection-Induced Fracture Propagation in Brittle Rocks with Two Injection Wells by a Modified Fluid-Mechanical Coupling Model," Energies, MDPI, vol. 13(18), pages 1-26, September.
    4. Hui Gao & Yule Hu & Longchen Duan & Kun Ai, 2019. "An Analytical Solution of the Pseudosteady State Productivity Index for the Fracture Geometry Optimization of Fractured Wells," Energies, MDPI, vol. 12(1), pages 1-22, January.

    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:12:y:2019:i:10:p:1938-:d:232866. 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.