Implicit Treatment of Compositional Flow

Garrido, Izaskun; Øian, Erlend; Chaib, Mohamed; Fladmark, G. E.; Espedal, Magne S.

doi:10.1023/b:comg.0000024426.15902.d8

Cited by 8 publications

(2 citation statements)

References 16 publications

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“…For example, Exxon Mobil Corporation's reservoir simulator EM power TM (Wu and Parashkevov, 2005), Schlumberger 's Eclipse (1997), the general purpose research simulator at the Stanford University (Cao, 2002), the research simulator at the Norsk Hydro (Hydro, 2001), the research simulator at the Chevron Texaco (Lee et al, 1999), the research simulators at the University of Bergen (Garrido et al, 2004) and the well known numerical simulator TOUGH-2 at the Lawrence The current issue and full text archive of this journal is available at www.emeraldinsight.com/ 0961-5539.htm Berkeley National Laboratory for capturing dynamics of green house gases in porous medium (Pruess et al, 2002). All of these simulators use the 2P-FVM on uniform meshes.…”

Section: Introductionmentioning

confidence: 99%

“…Owing to reasons of simplicity and computational efficiency, the two‐point flux approximation (TPFA) or the 2‐point finite volume method (2P‐FVM) is most widely used method for understanding fluid flow in porous media. For example, Exxon Mobil Corporation's reservoir simulator EM power TM (Wu and Parashkevov, 2005), Schlumberger's Eclipse (1997), the general purpose research simulator at the Stanford University (Cao, 2002), the research simulator at the Norsk Hydro (Hydro, 2001), the research simulator at the Chevron Texaco (Lee et al , 1999), the research simulators at the University of Bergen (Garrido et al , 2004) and the well known numerical simulator TOUGH‐2 at the Lawrence Berkeley National Laboratory for capturing dynamics of green house gases in porous medium (Pruess et al , 2002). All of these simulators use the 2P‐FVM on uniform meshes.…”

Section: Introductionmentioning

confidence: 99%

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Analysing an adaptive finite volume for flow in highly heterogeneous porous medium

Khattri

2008

International Journal of Numerical Methods for Heat &Amp; Fluid Flow

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PurposeThis paper seeks to develop an adaptive finite volume algorithm, and to present an extensive numerical analysis of it.Design/methodology/approachThe effectiveness of the developed algorithm is demonstrated through practical and computationally challenging problems. The algorithm is tested for a wide range of singularities.FindingsThe convergence of the presented algorithm is independent of the regularity of the problems. It is shown that the our algorithm produces more accurate and well conditioned matrix systems.Research limitations/implicationsThough the presented algorithm works for extreme singularities on rectangular meshes, it may not be as efficient if the underlying meshes are distorted, and it may not converge. Further research is under way for including the multi‐point approximation technique into the algorithm.Practical implicationsAlmost all reservoir simulators use the two‐point method, and this algorithm is based on this method. The algorithm can be easily incorporated into the reservoir simulators. The results show that such an implementation will greatly improve the computational efficiency of the simulators. The work is useful for computational scientists, and especially for the researchers in oil industries. The paper reports the numerical work with practical applications.Originality/valueThe paper develops an adaptive finite volume algorithm. It is shown that adaptive meshes represent the underlying problem more accurately, and matrix systems associated with adaptive meshes are easier to solve compared with matrix systems associated with uniform meshes.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysing an adaptive finite volume for flow in highly heterogeneous porous medium

Khattri

2008

International Journal of Numerical Methods for Heat &Amp; Fluid Flow

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A Convergent Algorithm for Time Parallelization Applied to Reservoir Simulation

Garrido

Espedal

Fladmark

Lecture Notes in Computational Science and Engineering

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Convergent iterative schemes for time parallelization

et al. 2006

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Abstract. Parallel methods are usually not applied to the time domain because of the inherit sequentialness of time evolution. But for many evolutionary problems, computer simulation can benefit substantially from time parallelization methods. In this paper, we present several such algorithms that actually exploit the sequential nature of time evolution through a predictorcorrector procedure. This sequentialness ensures convergence of a parallel predictor-corrector scheme within a fixed number of iterations. The performance of these novel algorithms, which are derived from the classical alternating Schwarz method, are illustrated through several numerical examples using the reservoir simulator Athena.

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Implicit Treatment of Compositional Flow

Cited by 8 publications

References 16 publications

Analysing an adaptive finite volume for flow in highly heterogeneous porous medium

Analysing an adaptive finite volume for flow in highly heterogeneous porous medium

A Convergent Algorithm for Time Parallelization Applied to Reservoir Simulation

Convergent iterative schemes for time parallelization

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