2011
DOI: 10.1063/1.3536463
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Long-term dynamics for well productivity index for nonlinear flows in porous media

Abstract: Motivated by the reservoir engineering concept of the well Productivity Index (PI) we study a time dependent functional for general non-linear Forchheimer equation. The PI of the well characterizes the well capacity with respect to drainage area of the well. Unlike the linear case for which this concept is well developed, there are only a few recent publications dedicated to the PI for nonlinear case. In this paper the PI is comprehensively studied both theoretically and numerically. The impact of the nonlinea… Show more

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Cited by 15 publications
(25 citation statements)
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“…Moreover, as was shown in [19], under the above conditions, the diffusive capacity defined on such a fully transient pressure also converges to the time-invariant pseudosteady state one. Note that the function γ(t) in the split boundary condition is not specified, but is controlled by a given constant rate Q s .…”
Section: Introductionmentioning
confidence: 63%
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“…Moreover, as was shown in [19], under the above conditions, the diffusive capacity defined on such a fully transient pressure also converges to the time-invariant pseudosteady state one. Note that the function γ(t) in the split boundary condition is not specified, but is controlled by a given constant rate Q s .…”
Section: Introductionmentioning
confidence: 63%
“…For the generalized Forchheimer equations this result was obtained in [15,19] and is recently used by the reservoir engineers in their research [20]. However, for arbitrary initial data one cannot expect the pseudo-steady state pressure distribution and the constant in time diffusive capacity.…”
Section: Introductionmentioning
confidence: 86%
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“…407-415. Within the fields of porous media, convection with LTNE effects, and various other areas of partial differential equations, structural stability has recently been focussed on by Aulisa et al [4,5], Capone [7], Celebi et al [24], Chirita et al [25], Ciarletta et al [26], D'Amore [28], De Angelis and Renno [29], Gentile and Straughan [36], Hoang et al [43], Hoang and Ibragimov [41,42], Kalantarov and Zelik [44], Kandem [45], Kang and Park [46], Kelliher et al [48], Knops and Payne [49], Knops and Payne [50], Layton and Rebholz [53], Li et al [54], Lin and Payne [55][56][57], Liu [58,59], Liu et al [60,61], Ouyang and Yang [70], Passarella et al [71], Payne [72][73][74], Payne et al [75], Payne and Straughan [76][77][78][79][80][81], Rionero and Vergori [98], Salvadori and Visentin [99], Ugurlu [112], You et al [114].…”
mentioning
confidence: 99%