نتایج جستجو برای: buckley
تعداد نتایج: 851 فیلتر نتایج به سال:
The performance of water flooding can be investigated by using either detail numerical modeling or simulation, or simply through the analytical Buckley-Leverett (BL) model. The Buckley-Leverett analytical technique can be applied to one-dimensional homogeneous systems. In this paper, the impact of heterogeneity on water flooding performance and fractional flow curve is investigated. First, a ba...
the performance of water flooding can be investigated by using either detail numerical modeling or simulation, or simply through the analytical buckley-leverett (bl) model. the buckley-leverett analytical technique can be applied to one-dimensional homogeneous systems. in this paper, the impact of heterogeneity on water flooding performance and fractional flow curve is investigated. first, a ba...
The first paper, entitled Françoise, a fifteen year follow-up, from Jean Rondal and his colleagues M. Elbouz, M. Ylieff, and L. Docquier, at the University of Liège in Belgium presents an individual case study that describes in detail the changes in language and memory function of Françoise, a 47 year old lady with Down syndrome. Françoise will already be well known to many in this field as she...
Received: 12 October 2003 Revised: 5 December 2003 Accepted: 21 January 2004 Online publication date: 11 March 2004 Abstract Buckley (2002) argues that the international business (IB) research agenda may be running out of steam, because no big research question has currently been identified. Buckley also asks whether the field needs a big question, and if so challenges IB scholars to discover i...
There have been various methods created based on the regression ideas to resolve the problem of data set containing censored observations, i.e. the Buckley-James method, Miller’s method, Cox method, and Koul-Susarla-Van Ryzin estimators. Even though comparison studies show the Buckley-James method performs better than some other methods, it is still rarely used by researchers mainly because of ...
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