Analytical Model for Predicting Productivity of Radial-Lateral Wells

• Main Authors: Boyun Guo, Rashid Shaibu, Xu Yang
• Format: Article
• Language: English
• Published: MDPI AG 2020-12-01
• Series: Energies
• Subjects: radial lateral wells; radial jet drilling; unconventional reservoirs; analytical modeling; well completion
• Online Access: https://www.mdpi.com/1996-1073/13/23/6386

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 (<i>k_H</i>) in the well area, uncertainty of permeability anisotropy (<i>I_ani</i>), and uncertainty in bottom hole pressure (pw). Error analysis of uncertainties in <i>k_H</i>, <i>I_ani</i>, 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.