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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
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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.
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