2016
DOI: 10.3997/2214-4609.201601800
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Operator-based Linearization for Non-isothermal Multiphase Compositional Flow in Porous Media

Abstract: SUMMARYNon-isothermal multiphase compositional simulation is based on the solution of governing equations describing mass and energy transfer in the subsurface. The solution strategy requires a linearization of strongly nonlinear governing equations describing the process. Usually, a Newton-based method is used for the linearization that demands an assembly of a Jacobian matrix and residuals for a fully coupled system of equations. Recently, a new linearization approach was proposed for compositional problems … Show more

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Cited by 4 publications
(2 citation statements)
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“…Notice, that transport in binary systems is always hyperbolic since the only eigenvalue is always real. For systems with a larger number of components, the simulation for a coarse resolution of parameter space with uniform parametrization may fail to converge, as was observed by Khait and Voskov in [26]. This can be explained by the potential loss of hyperbol-icity in systems with a large number of components.…”
Section: Consistency Of Numerical Solutionmentioning
confidence: 92%
See 1 more Smart Citation
“…Notice, that transport in binary systems is always hyperbolic since the only eigenvalue is always real. For systems with a larger number of components, the simulation for a coarse resolution of parameter space with uniform parametrization may fail to converge, as was observed by Khait and Voskov in [26]. This can be explained by the potential loss of hyperbol-icity in systems with a large number of components.…”
Section: Consistency Of Numerical Solutionmentioning
confidence: 92%
“…For a general purpose simulation, it is possible to apply this approach adaptively, following the idea of a compositional space parametrization [18,12]. The example of adaptive interpolation applied to the Operator-Based Linearization is described by Khait and Voskov [26].…”
Section: Operator-based Linearizationmentioning
confidence: 99%