نتایج جستجو برای: buckley leverret

تعداد نتایج: 851  

2013
Ariffin Bin Samsuri

To derive the fractional flow equation oil displacement will be assumed to take place under the so-called diffusive flow condition. The constraints are that fluid saturations at any point in the linear displacement path are uniformly distributed with respect to thickness; this allows the displacement to be described mathematically in one dimension. The simultaneous flow of oil and water can be ...

2013
Hayat Bourra Badreddine Hassam

Le molluscum contagiosum est une tumeur cutanée bénigne d'origine virale. L'agent responsable est un Poxvirus à ADN fréquemment retrouvé chez les enfants de 3 à 16 ans, les immunodéprimés et plus rarement chez les adultes immunocompétents. Le syndrome d'hyper immunoglobulinémie E ou de Job-Buckley fait partie des déficits immunitaires primitifs complexes, caractérisé par l'association constante...

2017
Boris Andreianov Clément Cancès

For the hyperbolic conservation laws with discontinuous flux function there may exist several consistent notions of entropy solutions; the difference between them lies in the choice of the coupling across the flux discontinuity interface. In the context of Buckley-Leverett equations, each notion of solution is uniquely determined by the choice of a “connection”, which is the unique stationary s...

1999
Dongxiao Zhang

We present a stochastic analysis of immiscible two-phase flow ~Buckley–Leverett displacement! in heterogeneous reservoirs. Since the detailed spatial variabilities of reservoir properties such as permeability and porosity cannot be described deterministically, both permeability and porosity, or either, are treated as random space functions. In turn, water saturation and oil production rate are ...

Journal: :Biometrics 2009
T Cai J Huang L Tian

SUMMARY In the presence of high-dimensional predictors, it is challenging to develop reliable regression models that can be used to accurately predict future outcomes. Further complications arise when the outcome of interest is an event time, which is often not fully observed due to censoring. In this article, we develop robust prediction models for event time outcomes by regularizing the Gehan...

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