2019
DOI: 10.1007/s11242-019-01237-7
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Perturbation Solutions for Flow in a Slowly Varying Fracture and the Estimation of Its Transmissivity

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Cited by 11 publications
(15 citation statements)
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“…The error associated with the second-order PS is of the third-order of ϵ and is therefore estimated to be small for fractures with gradual aperture change. The comparison study with the CFD simulation in Wang et al (2019) shows a mean absolute discrepancy of 1.6% for the PS in similar wedge-shaped cells when the inertial effects are moderate. However, further assessment may be conducted in the future to test comprehensively the proposed NRE in more fracture cases with different fracture void geometries.…”
Section: Water Resources Researchmentioning
confidence: 85%
“…The error associated with the second-order PS is of the third-order of ϵ and is therefore estimated to be small for fractures with gradual aperture change. The comparison study with the CFD simulation in Wang et al (2019) shows a mean absolute discrepancy of 1.6% for the PS in similar wedge-shaped cells when the inertial effects are moderate. However, further assessment may be conducted in the future to test comprehensively the proposed NRE in more fracture cases with different fracture void geometries.…”
Section: Water Resources Researchmentioning
confidence: 85%
“…Among these approximates, fractures are found to be well described by a series of connected wedges. Wang et al [37,38] used a wedge-shaped fracture to obtain the perturbation solution of pressure ∆p and flowrate Q under the pressure boundary condition. The perturbation parameter ε is selected as the relative aperture variation along the wedge length l in his study.…”
Section: Fluid Flow Modelmentioning
confidence: 99%
“…This section provides a brief description of the approach rather than a detailed derivation. A more detailed perturbation derivation can be viewed in Wang et al [37,38]. By perturbation analysis, the pressure difference can be made dimensionless and expressed as expanded series with a small parameter ε:…”
Section: Fluid Flow Modelmentioning
confidence: 99%
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