Simulation Study to Evaluate the Impact of Fracture Parameters on Shale Gas Productivity

Abdul Majeed Shar; Waheed Ali Abro; Aftab Ahmed Mahesar; Kun Sang Lee

doi:10.22581/muet1982.2002.19

Abdul Majeed Shar Petroleum Engineering Department, NED University of Engineering and Technology, Karachi, Pakistan.
Waheed Ali Abro Department of Resources and Environmental Engineering, Hanyang University, Seoul, South Korea.
Aftab Ahmed Mahesar Institute of Petroleum and Natural Gas Engineering, Mehran University of Engineering and Technology, Jamshoro, Pakistan.
Kun Sang Lee Department of Resources and Environmental Engineering, Hanyang University, Seoul, South Korea.

DOI: https://doi.org/10.22581/muet1982.2002.19

Abstract

The production from shale gas reservoirs has significantly increased due to technological advancements. The shale gas reservoirs are very heterogeneous and the heterogeneity has a significant effect on the quality and productivity of reservoirs. Hence, it is essential to study the behavior of such reservoirs for accurate modelling and performance prediction. To evaluate the impact of fracture parameters on shale gas reservoir productivity using CMG (Computer Modelling Group) stars simulation software was the main objective of this study. In this paper, a comprehensive analysis considering an example shale gas reservoir was conducted for production performance analysis considering uniform and non-uniform fractures configurations. Several simulations were performed by considering the multi-stage hydraulically fractured reservoir. The sensitivities conducted includes the different cases of moderate and severe heterogeneity along with variable fractures half-length, effect of changing fracture spacing, variable fracture conductivities. The simulation results showed that by increasing conductivity of fracture increases the gas production rate significantly. Moreover, cases of reservoir permeability heterogeneity were analyzed which show the significant effect on gas rate and on cumulative gas production. The results of this study can be used to improve the effectiveness in designing and developing of shale gas reservoirs and also to improve the accuracy of analyzing heterogeneous shale gas reservoir performance.