2018
DOI: 10.3390/en11112986
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A Non-Linear Flow Model for Porous Media Based on Conformable Derivative Approach

Abstract: Prediction of the non-linear flow in porous media is still a major scientific and engineering challenge, despite major technological advances in both theoretical and computational thermodynamics in the past two decades. Specifically, essential controls on non-linear flow in porous media are not yet definitive. The principal aim of this paper is to develop a meaningful and reasonable quantitative model that manifests the most important fundamental controls on low velocity non-linear flow. By coupling a new deri… Show more

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Cited by 16 publications
(7 citation statements)
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“…Assume that the specific surface area of porous media remains constant as effective stress increases, the following expression can be obtained as 29,46,47 :…”
Section: Methodsmentioning
confidence: 99%
“…Assume that the specific surface area of porous media remains constant as effective stress increases, the following expression can be obtained as 29,46,47 :…”
Section: Methodsmentioning
confidence: 99%
“…The second category focuses on fluid transport at multiple scales. Based on Swartzendruber equation and conformable derivative approach, as well as the modified Hertzian contact theory and fractal geometry, Lei et al [8] developed a novel nonlinear flow model for tight porous media, which manifests the most important fundamental controls on low-velocity nonlinear flow. According to this model, the average flow velocity in tight porous media is a function of microstructural parameters of the pore space, rock lithology, and differential order, as well as hydraulic gradients and threshold hydraulic gradients.…”
Section: Overview Of Work Presented In This Special Issuementioning
confidence: 99%
“…Nowadays, fractional derivatives are widely used for modeling physical, chemical, and biological problems in science and technology [3][4][5][6]. Recent studies have shown the suitability of this branch of mathematical analysis to accurately some physical systems; see, e.g., [7,8].…”
Section: Introductionmentioning
confidence: 99%