A Stochastic Permeability Model for Shale Gas Reservoirs Based onEmbedded Discrete Fracture Model
Feng Qihong
Xu Shiqian
Wang Sen
Yang Yi
Gao Fangfang
Xu Yajuan
Abstract：Shale reservoirs have different types of pore spaces, however, relevant studies on measuring the apparent permeability (AP) of shale gas reservoirs with considering different pore space have not been reported.A stochastic permeability model is proposed based on the embedded discrete fracture model (EDFM) in this study, which includes four steps.(1) The spatial distribution model of natural fracture, organic matter and inorganic matter is established.(2) Different permeability calculation methods are selected for different types of pore space.(3) The numerical simulation model is established on the basis of EDFM, using the spatial distribution model and different permeability calculation methods.(4) The gas flow rate is obtained by numerical simulation method after giving different pressures at the inlet and outlet of the model.Then the AP of this shale gas reservoir can be measured through the Darcy`s law.The results of the model are in good agreement with the experimental results reported in literature.The effect of different pore space types, distribution and some other characteristics were analyzed.Results show that the contribution of natural fractures to AP is greater than that of matrix pores.Therefore it is crucial to take the effect of different pore space types into account in the process of calculating shale gas AP.
Keywords：shale gaspore size distributionembedded discrete fractureapparent permeabilitynatural fracture
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：13( 1301-1313 )