2016
DOI: 10.1016/j.jaubas.2015.01.002
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A fractional model of fluid flow through porous media with mean capillary pressure

Abstract: In this paper, we discuss a fractional model arising in flow of two incompatible liquids through homogenous porous media with mean capillary pressure. The solution is derived by the application of the Sumudu transform and the Fourier sine transform. The results are received in compact and graceful forms in terms of the generalized Mittag-Leffler function, which are suitable for numerical computation. The mathematical formulation leads to generalized fractional derivative which has been solved by using a numeri… Show more

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Cited by 18 publications
(12 citation statements)
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“…Subrogating (12) into (11) and expanding in the Taylor series form for only first order derivatives yields…”
Section: Exp-function Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Subrogating (12) into (11) and expanding in the Taylor series form for only first order derivatives yields…”
Section: Exp-function Methodsmentioning
confidence: 99%
“…In the last decades, it has been frequently researched by many scientists to model real world problems. Therefore, it offered a decent way of implementation for plenty of models in miscellaneous areas of engineering and physics such as, electrical networks [9], fluid flow [11], image and signal processing [17], mathematical physics [30], viscoelasticity [25], biology [20], control [5] and see references therein [31][32][33][34][35][36][37][38][39][40][41][42][43][44].…”
Section: Introductionmentioning
confidence: 99%
“…He solved the fractional 3-D seepage motion equation using an iteration method [16]. Choudhary [17] used a numerical solution solve the flow problem of two incompatible liquids and applied it to oil production. Liu et al [18] proposed two modified alternate directions method for solving the non-continuous seepage problems with fractional derivatives in 2-D homogeneous media.…”
Section: Introductionmentioning
confidence: 99%
“…Some researchers applied a mathematical model to study the rumors and developed another classical model [14][15][16][17]. Early classical representations of rumor spreading dynamics assumed that all individuals have the homogeneous probability of connection [18][19][20]. Obviously, these simple models can not completely reflect the realistic feature of the spread of rumor, which is subsequently extended in ways to make them more realistic in recent years.…”
Section: Introductionmentioning
confidence: 99%