2020
DOI: 10.1016/j.petrol.2019.106712
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A generalized model for gas flow prediction in shale matrix with deduced coupling coefficients and its macroscopic form based on real shale pore size distribution experiments

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Cited by 6 publications
(10 citation statements)
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“…where The case study in literature [42] shows that although the equations of viscous flow and diffusion already contain variables varying with temperature, pressure, and other factors, they make sense within only a certain range of flow regimes and deviate from the actual situation within other range that is not taken into account. Introducing coupling coefficients to different flow mechanisms can help modify the correspondence between the mathematical models (i.e., those of viscous flow and diffusion) and Knudsen number and establish generalized models without segment processing as Kn varies.…”
Section: Coupled Model Of Shale Gas Flow In Nanoporesmentioning
confidence: 99%
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“…where The case study in literature [42] shows that although the equations of viscous flow and diffusion already contain variables varying with temperature, pressure, and other factors, they make sense within only a certain range of flow regimes and deviate from the actual situation within other range that is not taken into account. Introducing coupling coefficients to different flow mechanisms can help modify the correspondence between the mathematical models (i.e., those of viscous flow and diffusion) and Knudsen number and establish generalized models without segment processing as Kn varies.…”
Section: Coupled Model Of Shale Gas Flow In Nanoporesmentioning
confidence: 99%
“…Michel et al [15] and Xiong et al [47] described the probability density function of shale pore size distributions as logarithmic normal distribution. Enlightened by their studies, the following expression is used to fit the experimental data of full-scale shale pore size distributions: [42].…”
Section: Coupled Mathematical Model In Macroscopic-scale Shale Matrixmentioning
confidence: 99%
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