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Analytical Model for Predicting Productivity of Radial-Lateral Wells

Author

Listed:
  • Boyun Guo

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

  • Rashid Shaibu

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

  • Xu Yang

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

Abstract

An analytical model for predicting the productivity of Radial-lateral wells (RLW) drilled using radial jet drilling technology was developed in this work. The model assumes uniformly distributed equal-geometry laterals draining oil or gas under pseudo-steady state flow conditions within the lateral-reached drainage area. A numerical simulation and production data from three field cases of RLW were used to compare and validate the model. The result indicates that the model overestimates the well production rates for wells by 7.7%, 3.25%, and 8.8%, respectively. The error is attributed to several sources including, lack of data for well skin factor, uncertainty of horizontal permeability ( k H ) in the well area, uncertainty of permeability anisotropy ( I ani ), and uncertainty in bottom hole pressure (pw). Error analysis of uncertainties in k H , I ani , and pw showed that the model could predict productivity well with an acceptable error (10%) over practical ranges of these parameter values. Parameter sensitivity analyses showed that an increasing number of laterals, lateral length, and horizontal permeability would almost proportionally increase productivity. Well productivity is sensitive to well skin factor and oil viscosity, but not sensitive to the radius of the lateral.

Suggested Citation

  • Boyun Guo & Rashid Shaibu & Xu Yang, 2020. "Analytical Model for Predicting Productivity of Radial-Lateral Wells," Energies, MDPI, vol. 13(23), pages 1-16, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6386-:d:455513
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    Citations

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    Cited by:

    1. Ye, Hongyu & Wu, Xuezhen & Guo, Gaoqiang & Huang, Qichao & Chen, Jingyu & Li, Dayong, 2023. "Application of the enlarged wellbore diameter to gas production enhancement from natural gas hydrates by complex structure well in the shenhu sea area," Energy, Elsevier, vol. 264(C).
    2. Boyun Guo & He Zhang, 2022. "Mathematical Modeling of the Dynamic Temperature Profile in Geothermal-Energy-Heated Natural Gas Hydrate Reservoirs," Sustainability, MDPI, vol. 14(5), pages 1-13, February.

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