2019
DOI: 10.1007/s11854-018-0064-5
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Global estimates for generalized Forchheimer flows of slightly compressible fluids

Abstract: This paper is focused on the generalized Forchheimer flows of slightly compressible fluids in porous media. They are reformulated as a degenerate parabolic equation for the pressure. The initial boundary value problem is studied with time-dependent Dirichlet boundary data. The estimates up to the boundary and for all time are derived for the L ∞ -norm of the pressure, its gradient and time derivative. Large-time estimates are established to be independent of the initial data. Particularly, thanks to the specia… Show more

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Cited by 14 publications
(20 citation statements)
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“…These equations are analyzed numerically in [7,19,27], theoretically in [2,[10][11][12][13]16] for single-phase flows, and also in [14,15] for two-phase flows. Our previous analysis [2,[10][11][12][13]16] was focused on a simplified model for slightly compressible fluids. Though such a minor simplification is commonly used in reservoir engineering, the mathematical rigor is compromised.…”
Section: Introductionmentioning
confidence: 99%
“…These equations are analyzed numerically in [7,19,27], theoretically in [2,[10][11][12][13]16] for single-phase flows, and also in [14,15] for two-phase flows. Our previous analysis [2,[10][11][12][13]16] was focused on a simplified model for slightly compressible fluids. Though such a minor simplification is commonly used in reservoir engineering, the mathematical rigor is compromised.…”
Section: Introductionmentioning
confidence: 99%
“…It is worth mentioning that our results are applicable to all commonly used Forchheimer's laws. Finally, we remark that in case of homogeneous porous media, estimates for p and its time derivative pave the way for obtaining L ∞ -estimates for the gradient, as well as strong continuous dependence and structural stability, see [13][14][15]. However, it is not known whether such results still hold true for heterogeneous media in the current study.…”
Section: Introductionmentioning
confidence: 68%
“…It is used to unify the models (1.2), (1.3), (1.4), and as a framework for interpretation of different experimental or field data. It is analyzed numerically in [8,21,27], theoretically in [2,[12][13][14][15]18] for single-phase flows, and also in [16,17] for two-phase flows. For compressible fluids, especially gases, the dependence of coefficients a i 's on the density ρ is essential.…”
Section: Introductionmentioning
confidence: 99%