Academic literature on the topic 'Stochastic Buckley-Leverett'

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Journal articles on the topic "Stochastic Buckley-Leverett"

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Wei, Jinlong, Bin Liu, Rongrong Tian, and Liang Ding. "Stochastic Entropy Solutions for Stochastic Scalar Balance Laws." Entropy 21, no. 12 (November 22, 2019): 1142. http://dx.doi.org/10.3390/e21121142.

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We are concerned with the initial value problem for a multidimensional balance law with multiplicative stochastic perturbations of Brownian type. Using the stochastic kinetic formulation and the Bhatnagar-Gross-Krook approximation, we prove the uniqueness and existence of stochastic entropy solutions. Furthermore, as applications, we derive the uniqueness and existence of the stochastic entropy solution for stochastic Buckley-Leverett equations and generalized stochastic Burgers type equations.
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Holden, Helge, and Nils Henrik Risebro. "Stochastic Properties of the Scalar Buckley-Leverett Equation." SIAM Journal on Applied Mathematics 51, no. 5 (October 1991): 1472–88. http://dx.doi.org/10.1137/0151073.

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Holden, Lars. "The Buckley--Leverett Equation with Spatially Stochastic Flux Function." SIAM Journal on Applied Mathematics 57, no. 5 (October 1997): 1443–54. http://dx.doi.org/10.1137/s0036139994273077.

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Dissertations / Theses on the topic "Stochastic Buckley-Leverett"

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Carter, Simon J. "A stochastic Buckley-Leverett model." Thesis, 2010. http://hdl.handle.net/2440/63719.

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Even while numerical simulation methods dominate reservoir modeling, the Buckley-Leverett equation provides important insight into the physical processes behind enhanced oil recovery. The interest in a stochastic Buckley-Leverett equation, the subject of this thesis, arises because uncertainty is at the heart of petroleum engineering. Stochastic differential equations, where one modifies a deterministic equation with a stochastic perturbation or where there are stochastic initial conditions, offers one possible way of accounting for this uncertainty. The benefit of examining a stochastic differential equation is that mathematically rigorous results can be obtained concerning the behavior of the solution. However, the Buckley-Leverett equation belongs to a class of partial differential equations called first order conservation equations. These equations are notoriously difficult to solve because they are non-linear and the solutions frequently involve discontinuities. The fact that the equation is being considered within a stochastic setting adds a further level of complexity. A problem that is already particularly difficult to solve is made even more difficult by introducing a non-deterministic term. The results of this thesis were obtained by making the fractional flow curve the focus of attention, rather than the relative permeability curves. Reservoir conditions enter the Buckley-Leverett model through the fractional flow function. In order to derive closed form solutions, an analytical expression for fractional flow is required. In this thesis, emphasis in placed on modeling fractional flow in such a way that most experimental curves can readily be approximated in a straightforward manner, while keeping the problem tractable. Taking this approach, a range of distributional results are obtained concerning the shock front saturation and position over time, breakthrough time, and even recovery efficiency.
Thesis (Ph.D.) -- University of Adelaide, School of Mathematical Sciences, 2010
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Conference papers on the topic "Stochastic Buckley-Leverett"

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Terpolilli, P. "Stochastic Reservoir – The Buckley-Leverett Model." In ECMOR IX - 9th European Conference on the Mathematics of Oil Recovery. European Association of Geoscientists & Engineers, 2004. http://dx.doi.org/10.3997/2214-4609-pdb.9.b011.

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Pettersson, P., and H. Tchelepi. "Stochastic Galerkin Method for the Buckley-Leverett Problem in Heterogeneous Formations." In ECMOR XIV - 14th European Conference on the Mathematics of Oil Recovery. Netherlands: EAGE Publications BV, 2014. http://dx.doi.org/10.3997/2214-4609.20141868.

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