2015
DOI: 10.1016/j.jngse.2015.03.016
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Study on the steady and transient pressure characteristics of shale gas reservoirs

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Cited by 19 publications
(3 citation statements)
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“…When K n exceeds 10, the gas transport in the nanopores is the Knudsen diffusion 4043 . The regime is controlled by Knudsen diffusion, and it may be expressed aswhere K n is the Knudsen number for real gas; is the mean free path of the molecules for real gas, .…”
Section: Resultsmentioning
confidence: 99%
“…When K n exceeds 10, the gas transport in the nanopores is the Knudsen diffusion 4043 . The regime is controlled by Knudsen diffusion, and it may be expressed aswhere K n is the Knudsen number for real gas; is the mean free path of the molecules for real gas, .…”
Section: Resultsmentioning
confidence: 99%
“…So, an apparent permeability model based on Beskok-Karniadakis (BK model) theory is widely used to characterize the multiscale transport of shale gas [19][20][21][22][23][24], and the model can be expressed as follows:…”
Section: Apparent Permeability Model With Stress Sensitivitymentioning
confidence: 99%
“…Thirdly, patterns of shale gas migration play an important role in describing shale gas percolation accurately. It is found that the classic Darcy percolation law cannot accurately describe shale gas behavior especially in nanopores and under different gas states so that desorption, diffusion and slippage, viscous flow of shale gas in pores, Knudsen diffusion and surface diffusion of adsorbed gas, adsorption/desorption, matrix-fracture transfer, and non-Darcy effects [15][16][17][18][19][20] are introduced to describe the percolation law of shale gas; then, the percolation effect between matrix and fractures through percolation velocity, reservoir pressure, and production was analyzed. Fourthly, the improvement of the mathematical calculation method is another key point, such as the lattice Boltzmann method (LBM), finite element method, and finite volume method [14,21,22] which are introduced to improve the accuracy of gas percolation representation considering adsorptive/cohesive forces between the molecules and fracture network distribution.…”
Section: Introductionmentioning
confidence: 99%