Numerical study of a stress dependent triple porosity model for shale gas reservoirs accommodating gas diffusion in kerogen

Guijie Sang, Derek Elsworth, Xiexing Miao, Xianbiao Mao, Jiehao Wang

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

A model accommodating multi-scale pores containing kerogen within an inorganic matrix is used to explore the complex multi-mechanistic transport mechanisms of shale gas reservoirs. These include the complex evolution of pressure, diffusion and flow within both kerogen and inorganic components and their interaction with effective stresses. A general poromechanical model is proposed considering desorption and molecular diffusion in the kerogen, viscous flow in the inorganic matrix and fracture system, and composite deformation of the triple porosity assemblage. The model is verified by history matching against field data for gas production rate. The simulation results indicate that the pattern of gas flow is sequential during gas depletion – pressure first declines in the fracture, followed by the inorganic phase and then in the kerogen. The evolution of permeability is pressure dependent and the evolution of pressure is closely related to the intrinsic gas diffusion coefficient in the kerogen, inorganic matrix intrinsic permeability and fracture intrinsic permeability. A series of sensitivity analyses are completed to define key parameters affecting gas production. The study shows that dominant influence of the fracture network in acting as the main permeable conduit. The intrinsic permeability and porosity of the fracture have a positive correlation with gas production, while fracture spacing has a negative correlation to gas production. Kerogen also plays a critical role in gas production for shale reservoirs with higher total organic carbon. The enhancement of inorganic matrix permeability and gas diffusion coefficient in kerogen could efficiently guarantee a long-term gas production with a higher rate.

Original languageEnglish (US)
Pages (from-to)423-438
Number of pages16
JournalJournal of Natural Gas Science and Engineering
Volume32
DOIs
StatePublished - 2016

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology

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