2013
DOI: 10.2118/142132-pa
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Study on the Application of the Tie-Line-Table-Look-Up-Based Methods to Flash Calculations in Compositional Simulations

Abstract: Flash calculation can be a time-consuming part in compositional reservoir simulations, and several approaches have been proposed to speed it up. One recent approach is the shadow-region method that reduces the computation time mainly by skipping stability analysis for a large portion of the compositions in the single-phase region. In the two-phase region, a highly efficient Newton-Raphson algorithm can be used with the initial estimates from the previous step. Another approach is the compositional-space adapti… Show more

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Cited by 3 publications
(2 citation statements)
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“…The EoS-based computations are expensive and may consume a large portion of the total simulation time. But their cost can be significantly reduced through some advanced approaches (Voskov and Tchelepi 2009;Zaydullin et al 2012;Yan et al 2013).…”
Section: Phase Behaviormentioning
confidence: 99%
“…The EoS-based computations are expensive and may consume a large portion of the total simulation time. But their cost can be significantly reduced through some advanced approaches (Voskov and Tchelepi 2009;Zaydullin et al 2012;Yan et al 2013).…”
Section: Phase Behaviormentioning
confidence: 99%
“…The Rachford-Rice [8] objective function flash calculation method, also called the conventional flash calculation is the most popular method; albeit modified versions of it have been proposed to improve on the computational time by different researchers [9,10]. Some other notable methods that have been proposed that do not rely on an objective function to reduce the computational time of flash calculations during compositional simulations are: the reduced variables method [11,12,13]; shadow-region approach [14,15]; the compositional-space adaptative tabulation (CSAT) method [16,17] and the tie-line table look-up (TTL) [18] method. Unfortunately, most of these methods are also iterative, and still pose convergence problems, even though some are developed with efficient Newton-Raphson algorithms.…”
Section: Introductionmentioning
confidence: 99%