2019
DOI: 10.1007/s10596-019-09835-6
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Consistent upwinding for sequential fully implicit multiscale compositional simulation

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Cited by 15 publications
(19 citation statements)
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“…Fully implicit discretizations are the most common formulation used in commercial simulators and allow for a concise and clear presentation. Note that HU schemes have shown significant efficiency benefits in sequential implicit schemes as well [19]. Future work will investigate the benefits of the presented scheme for sequential formulations.…”
Section: Numerical Discretization Of Mass Balance Equationsmentioning
confidence: 92%
See 1 more Smart Citation
“…Fully implicit discretizations are the most common formulation used in commercial simulators and allow for a concise and clear presentation. Note that HU schemes have shown significant efficiency benefits in sequential implicit schemes as well [19]. Future work will investigate the benefits of the presented scheme for sequential formulations.…”
Section: Numerical Discretization Of Mass Balance Equationsmentioning
confidence: 92%
“…and q t is a total mass source term constructed similarly to the total mass flux in (19). Note that as the phase compositions sum up to unity, they are not explicitly present in the flow problem, eq.…”
Section: Total Mass Flux Formulationmentioning
confidence: 99%
“…Specifically, when the approximation is based on PPU, convergence difficulties may arise when a small change in the primary variables -pressure and saturation -causes an abrupt change from cocurrent flow to countercurrent flow, and vice versa. This issue, referred to as the "flip-flopping" of the phase fluxes, was recently addressed with Implicit Hybrid Upwinding (IHU) in Lee et al (2015); Efendiev (2016, 2018); ; Hamon et al ( , 2018; Moncorgé et al (2019). The IHU strategy is based on a separate evaluation of the viscous, buoyancy, and capillary parts to achieve a differentiable flux in the highly nonlinear transport problem.…”
Section: Introductionmentioning
confidence: 99%
“…Domain decomposition is also very appealing as a nonlinear solution strategy in reservoir simulation: The system of nonlinear equations tends to be strongly coupled, highly nonlinear, and unbalanced (i.e., a safe step length for Newton's method is determined by a small subset of the full variable set [3]), so that unless we take very short timesteps, the initial guess is typically far from the solution. A particularly popular nonlinear variable-decomposition approach is sequential splitting of the full problem into a pressure subproblem and a set of transport subproblems [33,34,38,47,50], which also facilitates using efficient multiscale methods for the pressure subproblem [13,27,36].…”
mentioning
confidence: 99%